Classification: 5701: Applied statistics

Publications

Book (monograph)

2018 Dolnicar, Sara, Grün, Bettina, Leisch, Friedrich. 2018. Market Segmentation Analysis: Understanding It, Doing It, and Making It Useful. Management for Professionals: Springer. (Details)

Journal article

2020 Hajibaba, Homa, Grün, Bettina, Dolnicar, Sara. 2020. Improving the stability of market segmentation analysis. International Journal of Contemporary Hospitality Management. 32 (4), 1393-1411. (Details)
  Hirk, Rainer, Kastner, Gregor, Vana, Laura. 2020. Investigating the Dark Figure of COVID-19 Cases in Austria: Borrowing From the Decode Genetics Study in Iceland. Austrian Journal of Statistics. 49 (5), 1-17. open access (Details)
  Hirk, Rainer, Hornik, Kurt, Vana, Laura. 2020. mvord: An R Package for Fitting Multivariate Ordinal Regression Models. Journal of Statistical Software. 93 (4), 1-41. open access (Details)
  Dolnicar, Sara, Grün, Bettina, Juvan, Emil. 2020. Reducing the plate waste of families at hotel buffets - A quasi-experimental field study. Tourism Management. 80 (10410) (Details)
  Kastner, Gregor, Huber, Forian. 2020. Sparse Bayesian Vector Autoregressions in Huge Dimensions. Journal of Forecasting. open access (Details)
  Knezevic Cvelbar, Ljubica, Grün, Bettina, Dolnicar, Sara. 2020. “To clean or not to clean?” Reducing daily routine hotel room cleaning by letting tourists answer this question for themselves. Journal of Travel Research. (Details)
2019 Dolnicar, Sara, Knezevic Cvelbar, Ljubica, Grün, Bettina. 2019. A sharing-based approach to enticing tourists to behave more environmentally friendly. Journal of Travel Research. 58 (2), 241-252. (Details)
  Dolnicar, Sara, Knezevic Cvelbar, Ljubica, Grün, Bettina. 2019. Changing service settings for the environment: How to reduce negative environmental impacts without sacrificing tourist satisfaction. Annals of Tourism Research. 76 301-304. (Details)
  Grün, Bettina, Miljkovic, Tatjana. 2019. Extending composite loss models using a general framework of advanced computational tools. Scandinavian Actuarial Journal. 2019 (8), 642-660. (Details)
  Malsiner-Walli, Gertraud, Hofmarcher, Paul, Grün, Bettina. 2019. Semi-parametric regression under model uncertainty: Economic applications. Oxford Bulletin of Economics and Statistics. 81 (5), 1117-1143. (Details)
  Malsiner-Walli, Gertraud, Hofmarcher, Paul, Grün, Bettina. 2019. Semi‐parametric Regression under Model Uncertainty: Economic Applications. Oxford Bulletin of Economics and Statistics. 81 (5), 1117-1143. open access (Details)
  Huber, Florian, Kastner, Gregor, Feldkircher, Martin. 2019. Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models. Journal of Applied Econometrics. 34 (5), 621-640. open access (Details)
  Kastner, Gregor. 2019. Sparse Bayesian Time-Varying Covariance Estimation in Many Dimensions. Journal of Econometrics. 210 (1), 98-115. open access (Details)
2018 Rusch, Thomas, Hornik, Kurt, Mair, Patrick. 2018. Assessing and quantifying clusteredness: The OPTICS Cordillera. Journal of Computational and Graphical Statistics, 27 (1), 220-233. open access (Details)
  Juvan, Emil, Grün, Bettina, Dolnicar, Sara. 2018. Biting Off More Than They Can Chew: Food Waste at Hotel Breakfast Buffets. Journal of Travel Research. 57 (2), 232-242. (Details)
  Frühwirth-Schnatter, Sylvia, Grün, Bettina, Malsiner-Walli, Gertraud. 2018. Contributed comment on “Bayesian cluster analysis: Point estimation and credible balls” by Wade and Ghahramani. Bayesian Analysis. 13 601-603. (Details)
  Frühwirth-Schnatter, Sylvia, Grün, Bettina, Malsiner-Walli, Gertraud. 2018. Discussion of "Bayesian Cluster Analysis: Point Estimation and Credible Balls" by Sara Wade and Zoubin Ghahramani. Bayesian Analysis. 13 (2), 601-603. open access (Details)
  Malsiner-Walli, Gertraud, Pauger, Daniela, Wagner, Helga. 2018. Effect fusion using model-based clustering. Statistical Modelling. 18 (2), 175-196. open access (Details)
  Brosnan, Kylie, Grün, Bettina, Dolnicar, Sara. 2018. Identifying superfluous survey items. Journal of Retailing and Consumer Services. 43 39-45. (Details)
  Philipp, Michel, Rusch, Thomas, Strobl, Carolin, Hornik, Kurt. 2018. Measuring the Stability of Supervised Statistical Learning Results. Journal of Computational and Graphical Statistics. 27 (4), 685-700. (Details)
  Hirk, Rainer, Hornik, Kurt, Vana, Laura. 2018. Multivariate ordinal regression models: an analysis of corporate credit ratings. Statistical Methods and Applications. 28 (3), 507-539. open access (Details)
2017 Grün, Bettina, Dolnicar, Sara, Knezevic Cvelbar, Ljubica. 2017. Do pro-environmental appeals trigger pro-environmental behavior in hotel guests? Journal of Travel Research. 56 (8), 988-997. (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2017. Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models. Journal of Computational and Graphical Statistics. 26 (4), 905-917. open access (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2017. Identifying mixtures of mixtures using Bayesian estimation. Journal of Computational and Graphical Statistics. 26 (2), 285-295. (Details)
  Grün, Bettina, Dolnicar, Sara. 2017. In a galaxy far, far away ... market yourself differently. Journal of Travel Research. 56 (5), 593-598. (Details)
  Waldhauser, Christoph, Hochreiter, Ronald. 2017. Shaking the trees: Abilities and Capabilities of Regression and Decision Trees for Political Science. ITM Web of Conferences 14, 9 open access (Details)
  Grün, Bettina, Piccoli, Gabriele, Lui, Tsz-Wai. 2017. The impact of IT-enabled customer service systems on service personalization, customer service perceptions, and hotel performance. Tourism Management. 59 349-362. (Details)
  Knezevic Cvelbar, Ljubica, Dolnicar, Sara, Grün, Bettina. 2017. Which hotel guest segments reuse towels? Selling sustainable tourism services through target marketing. Journal of Sustainable Tourism. 25 (7), 921-934. (Details)
2016 Rusch, Thomas, Lowry, Paul B., Mair, Patrick, Treiblmaier, Horst. 2016. Breaking Free from the Limitations of Classical Test Theory: Developing and Measuring Information Systems Scales Using Item Response Theory. Information & Management, 54 (2), 189-203. open access (Details)
  Kastner, Gregor. 2016. Dealing with Stochastic Volatility in Time Series Using the R Package stochvol. Journal of Statistical Software. 69 (5), 1-30. open access (Details)
  Mair, Patrick, Borg, Ingwer, Rusch, Thomas. 2016. Goodness-of-Fit Assessment in Multidimensional Scaling and Unfolding. Multivariate Behavioral Research, 51 (6), 772-789. open access (Details)
  Grün, Bettina, Dolnicar, Sara, Leisch, Friedrich. 2016. Increasing sample size compensates for data problems in segmentation studies. Journal of Business Research. 69 (2), 992-999. (Details)
  Miljkovic, Tatjana, Grün, Bettina. 2016. Modeling loss data using mixtures of distributions. Insurance, Mathematics and Economics. 70 387-396. (Details)
  Grün, Bettina, Dolnicar, Sara. 2016. Response-style corrected market segmentation for ordinal data. Marketing Letters. 27 (4), 729-741. (Details)
2015 Koller, Ingrid, Maier, Marco, Hatzinger, Reinhold. 2015. An Empirical Power Analysis of Quasi-Exact Tests for the Rasch Model: Measurement Invariance in Small Samples. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences 11 (2): S. 45-54. (Details)
  Hofmarcher, Paul, Crespo Cuaresma, Jesus, Grün, Bettina, Hornik, Kurt. 2015. Last night a shrinkage saved my life: Economic growth, model uncertainty and correlated regressors. Journal of Forecasting. 34 (2), 133-144. (Details)
  Grün, Bettina, Rossiter, John R., Dolnicar, Sara. 2015. Why level-free forced-choice binary measures of brand benefit beliefs work well. International Journal of Market Research (früher: Journal of the Market Research Society). 57 (2), 239-256. (Details)
2014 Kastner, Gregor, Frühwirth-Schnatter, Sylvia. 2014. Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models. Computational Statistics and Data Analysis. 76 408-423. open access (Details)
  Dolnicar, Sara, Grün, Bettina. 2014. Including “Don't know” answer options in brand image surveys improves data quality. International Journal of Market Research. 56 (1), 33-50. (Details)
  Hornik, Kurt, Grün, Bettina. 2014. movMF: An R package for fitting mixtures of von Mises-Fisher distributions. Journal of Statistical Software. 58 (1), 1-31. (Details)
  Hornik, Kurt, Grün, Bettina. 2014. On standard conjugate families for natural exponential families with bounded natural parameter space. Journal of Multivariate Analysis. 126 14-24. (Details)
  Dolnicar, Sara, Grün, Bettina, Leisch, Friedrich, Schmidt, Kathrin. 2014. Required sample sizes for data-driven market segmentation analyses in tourism. Journal of Travel Research. 53 (3), 296-306. (Details)
2013 Püspök, Ruduolf, Tatzer, Ernst, Waldhauser, Christoph. 2013. Primärversorgung durch niedergelassene Kinder- und Jugendärzte in Österreich. Angebot und Probleme aus pädiatrischer Sicht. Pädiatrie & Pädologie 48 (S01): 106-118. (Details)
  Grün, Bettina, Malsiner-Walli, Gertraud. 2013. Discussion of “How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification” by Hennig and Liao. Journal of the Royal Statistical Society: Series C (Applied Statistics). 62 350-351. (Details)
  Dolnicar, Sara, Grün, Bettina, Yanamandram, Venkata. 2013. Dynamic, interactive survey questions can increase survey data quality. Journal of Travel and Tourism Marketing. 30 (7), 690-699. (Details)
  Oliva, Clelia F., Maier, Marco, Gilles, Jeremie, Jacquet, Maxime, Lemperiere, Guy, Quilici, Serge, Vreysen, Marc J. B., Schooneman, François, Chadee, Dave D., Boyer, Sebastien. 2013. Effects of irradiation, presence of females, and sugar supply on the longevity of sterile males Aedes albopictus (Skuse) under semi-field conditions on Reunion Island. Acta Tropica 125 (3): S. 287-293. (Details)
  Dolnicar, Sara, Grün, Bettina. 2013. Validly measuring destination image in survey studies. Journal of Travel Research. 52 (1), 3-13. (Details)
  Dolnicar, Sara, Grün, Bettina. 2013. “Translating” between survey answer formats. Journal of Business Research. 66 (9), 1298-1306. (Details)
2012 Skirbekk, Vegard, Loichinger, Elke, Weber, Daniela. 2012. Variation in cognitive functioning as a refined approach to comparing aging across countries. Proceedings of the National Academy of Sciences of the USA 109 (3): 770-774. (Details)
  Grün, Bettina, Kosmidis, Ioannis, Zeileis, Achim. 2012. Extended beta regression in R: Shaken, stirred, mixed, and partitioned. Journal of Statistical Software. 48 (11), 1-25. (Details)
  Grün, Bettina, Scharl, Theresa, Leisch, Friedrich. 2012. Modelling time course gene expression data with finite mixtures of linear additive models. Bioinformatics. 28 (2), 222-228. (Details)
  Dolnicar, Sara, Hurlimann, Anna, Grün, Bettina. 2012. Water conservation behavior in Australia. Journal of Environmental Management. 105 44-52. (Details)
  Dolnicar, Sara, Rossiter, John R., Grün, Bettina. 2012. “Pick-any” measures contaminate brand image studies. International Journal of Market Research (früher: Journal of the Market Research Society). 54 (6), 821-834. (Details)
2011 Kada, Olivia, Brunner, Eva, Maier, Marco. 2011. Das Krankenhaus - ein kohärentes Setting? Entwicklung eines bereichsspezifischen Instruments zur Messung des Kohärenzgefühls während stationärer Aufenthalte (Teil 2). Prävention und Gesundheitsförderung 4 S. 299-304. (Details)
  Dolnicar, Sara, Grabler, Klaus, Grün, Bettina, Kulnig, Anna. 2011. Key drivers of behavioural loyalty in airline choice. Tourism Management. 32 (5), 1020-1026. (Details)
  Dolnicar, Sara, Grün, Bettina, Leisch, Friedrich. 2011. Quick, simple and reliable: Forced binary survey questions. International Journal of Market Research. 53 (2), 231-252. (Details)
2010 Maca, Saskia, Schiesser, Andreas W., Sobala, Anna, Gruber, Kathrin, Pakesch, Georg, Prause, C., Barisani-Asenbauer, Talin. 2010. Distress, depression and coping in HLA-B27-associated anterior uveitis with focus on gender differences. British Journal of Ophthalmology 95 (9): 699-704. (Details)
2005 Hahsler, Michael, Grün, Bettina, Hornik, Kurt. 2005. arules - A computational environment for mining association rules and frequent item sets. Journal of Statistical Software. 14 (15), 1-25. (Details)

Chapter in edited volume

2020 Hofmarcher, Paul, Grün, Bettina. 2020. Macroeconomic Forecasting in the Era of Big Data. In: Bayesian model averaging, Hrsg. Peter Fuleky, 359-388. Advanced Studies in Theoretical and Applied Econometrics: Springer, Cham. (Details)
2019 Hosszejni, Darjus, Kastner, Gregor. 2019. Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage. In: Bayesian Statistics and New Generations - Selected Contributions from BAYSM 2018, Hrsg. Raffaele Argiento, Daniele Durante, Sara Wade, 75-83. Cham: Springer. open access (Details)
  Celeux, Gilles, Kamary, Kaniav, Malsiner-Walli, Gertraud, Marin, Jean-Michel, Robert, Christian P. 2019. Computational solutions for Bayesian inference in mixture models. In: Handbook of Mixture Analysis, Hrsg. Sylvia Frühwirth-Schnatter, Gilles Celeux, Christian P. Robert, 73-96. Boca Raton, Florida: Chapman & Hall. (Details)
  Grün, Bettina. 2019. Handbook of Mixture Analysis, In: Model-based clustering, Hrsg. Sylvia Frühwirth-Schnatter, Gilles Celeux, and Christian P. Robert, 157-192. Chapman & Hall/CRC Handbooks of Modern Statistical Methods: Chapman & Hall. (Details)
2017 Dolnicar, Sara, Grün, Bettina. 2017. Methods in segmentation. In: Segmentation in Social Marketing: Process, Methods and Application, Hrsg. T. Dietrich, S. Rundle-Thile, and K. Kubacki, 93-107. Segmentation in Social Marketing: Process, Methods and Application: Springer Verlag. (Details)
2012 Lutz, Wolfgang, Loichinger, Elke. 2012. Österreichs Menschen 2032. In: Österreich 2032. Festschrift zum 80. Geburtstag von Gerhart Bruckmann. Schriftenreihe des Instituts für Demographie der Österreichischen Akademie der Wissenschaften, Band 22, Hrsg. Lutz, W., Strasser, H., 7-49. Wien: Verlag der Österreichischen Akademie der Wissenschaften. (Details)
2010 Maier, Marco, Maier, Konradin. 2010. BILOG-MG und MULTILOG. In: IRT Software: Überblick und Anwendungen, Hrsg. M.J. Maier, R. Hatzinger, 79-94. Wien: WU Vienna University of Economics and Business. (Details)
  Renner, Walter, Maier, Marco. 2010. Deutschlands klügste Köpfe: Was Herkunft und Hauptfach über das Allgemeinwissen aussagen. In: Allgemeinbildung in Deutschland. Erkenntnisse aus dem SPIEGEL-Studentenpisa-Test, Hrsg. Sabine Trepte, Markus Verbeet, S. 177-193. Wiesbaden: VS Verlag für Sozialwissenschaften. (Details)

Edited book (editorship)

2015 Frühwirth-Schnatter, Sylvia, Bitto-Nemling, Angela, Kastner, Gregor, Posekany, Alexandra, Hrsg. 2015. Bayesian Statistics from Methods to Models and Applications - Research from BAYSM 2014. Switzerland: Springer International Publishing. (Details)

Contribution to conference proceedings

2018 Grün, Bettina, Malsiner-Walli, Gertraud. 2018. Bayesian Latent Class Analysis with Shrinkage Priors: An Application to the Hungarian Heart Disease Data. In ASMOD 2018 -- Proceedings of the International Conference on Advances in Statistical Modelling of Ordinal Data, Hrsg. Stefania Capecchi and Francesca Di Iorio and Rosaria Simone, 13-24. FedOA -- Federico II University Press: None. open access (Details)
  Grün, Bettina, Malsiner-Walli, Gertraud. 2018. Bayesian latent class analysis with shrinkage priors: An application to the Hungarian heart disease data. In ASMOD 2018 - Proceedings of the International Conference on Advances in Statistical Modelling of Ordinal Data, Hrsg. Stefania Capecchi, Francesca Di Iorio, and Rosaria Simone, 13-24. Italien: None. (Details)
2017 Sperl, Simon, Havur, Giray, Steyskal, Simon, Cabanillas Macias, Cristina, Polleres, Axel, Haselböck, Alois. 2017. Resource Utilization Prediction in Decision-Intensive Business Processes. In 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), Hrsg. Paolo Ceravolo, Maurice Van Keulen, Kilian Stoffel, 128-141. Neuchâtel, Switzerland: CEUR Workshop Proceedings. (Details)
2016 Pauger, Daniela, Malsiner-Walli, Gertraud, Wagner, Helga. 2016. Bayesian effect fusion for categorical predictors with sparse finite mixture prior. In Proceedings of the 31st International Workshop on Statistical Modelling, Hrsg. Herwig Friedl, Helga Wagner, 247-252. Johannes Kepler University Linz: None. (Details)
2015 Malsiner-Walli, Gertraud, Grün, Bettina, Hofmarcher, Paul. 2015. Bayesian variable selection in semi-parameteric growth regression. In Proceedings of the 30th International Workshop on Statistical Modelling, Volume 2, Hrsg. Herwig Friedl, Helga Wagner, 151-154. Linz: None. (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2015. Dynamic covariance estimation using sparse Bayesian factor stochastic volatility models. In Proceedings of the 30th International Workshop on Statistical Modelling, Volume 2, Hrsg. Herwig Friedl, Helga Wagner, S. 139-142. Linz: None. (Details)
2014 Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2014. Analysis of Exchange Rates via Multivariate Bayesian Factor Stochastic Volatility Models. In The Contribution of Young Researchers to Bayesian Statistics, Proceedings of BAYSM2013, Springer Proceedings in Mathematics & Statistics, Vol. 63, Hrsg. Ettore Lanzarone and Francesca Ieva, 181-185. Switzerland: Springer. (Details)
2011 Kastner, Gregor, Frühwirth-Schnatter, Sylvia. 2011. Improving efficiency of Bayesian stochastic volatility estimation by non-centering and interweaving. In Proceedings of the 17th European Young Statisticians Meeting (EYSM), Hrsg. Paulo C. Rodrigues, Miguel de Carvalho, 131-135. Lisboa, Portugal: Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa. (Details)

Paper presented at an academic conference or symposium

2020 Kastner, Gregor. 2020. Efficient Bayesian Computing in Many Dimensions - Applications in Economics and Finance. BAYESCOMP 2020, Gainesville, Vereinigte Staaten/USA, 07.01.-10.01. Invited Talk (Details)
  Grün, Bettina. 2020. Extending flexmix to model-based clustering with sparse data. useR!2020, München, Deutschland, 07.07. (Details)
  Frühwirth-Schnatter, Sylvia, Greve, Jan, Grün, Bettina, Malsiner-Walli, Gertraud. 2020. Model-based clustering with Bayesian Gaussian mixtures. Workshop on Models and Learning for Clustering and Classification, online, Österreich, 11.09. (Details)
2019 Hirk, Rainer, Vana, Laura, Hornik, Kurt, Pichler, Stefan. 2019. A joint model of failures and credit ratings. Vienna Congress on Mathematical Finance (VCMF), Vienna, Österreich, 09.09-11.09. (Details)
  Grün, Bettina. 2019. Bayesian model-based clustering with flexible and sparse priors. 12th Scientific Meeting of Classification and Data Analysis (CLADAG 2019)”, Cassino, Italien, 13.09. Invited Talk (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2019. Bayesianische Modellierung von Mischmodellen angewandt auf medizinische Fragestellungen. Wiener Biometrische Sektion (WBS) Seminar 2019, Wien, Österreich, 22.02. (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2019. Bridging finite and infinite mixtures. Summer Session of the Working Group on Model-Based Clustering, Vienna, Österreich, 15.07. (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2019. Identifying mixtures of mixtures using Bayesian estimation. 5th Joint Statistical Meeting DAGStat 2019, München, Deutschland, 21.03. (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2019. Identifying mixtures of mixtures using Bayesian estimation. Joint Statistical Meetings (JSM 2019), Denver, Vereinigte Staaten/USA, 29.07. (Details)
  Hirk, Rainer, Hornik, Kurt, Vana, Laura. 2019. mvord: An R Package for Fitting Multivariate Ordinal Regression Models. YSM 2019, Basovizza, Italien, 18.10.-20.10. (Details)
  Malsiner-Walli, Gertraud, Grün, Bettina, Frühwirth-Schnatter, Sylvia. 2019. Shrinkage Priors for the Bayesian Latent Class Model. Working Group on Model-Based Clustering Sommer Session 2019, WU Wien, Österreich, 18.07. (Details)
  Kastner, Gregor, Huber, Florian. 2019. Sparse Bayesian Vector Autoregressions in Huge Dimensions. 4th Vienna Workshop on High-Dimensional Time Series in Macroeconomics and Finance, Institute for Advanced Studies, Austria, 16.05.-17.05. (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2019. Telescoping mixtures - Learning the number of components and data clusters in Bayesian mixture analysis. 16th Conference of the International Federation of Classification Societies, Thessaloniki, Griechenland, 26.08.-29.08. (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2019. Telescoping mixtures - Learning the number of components and data clusters in Bayesian mixture analysis. Statistics5@Aegina, Aegina, Griechenland, 06.09.-08.09. (Details)
  Grün, Bettina. 2019. Tools for model-based clustering in R. useR! 2019, Toulouse, Frankreich, 12.06. Invited Talk (Details)
2018 Hirk, Rainer, Hornik, Kurt, Vana, Laura. 2018. A Credit Risk Application of Multivariate Ordinal Regression Models using the R package mvord. R/Finance 2018, Chicago, United States/USA, 01.06-02.06. (Details)
  Kastner, Gregor. 2018. Bayesian Inference in Many Dimensions: Examples from Macroeconomics and Finance. Bayesians Statistics in the Big Data Era, Marseille Luminy, France, 26.11.-30.11. Invited Talk (Details)
  Grün, Bettina, Malsiner-Walli, Gertraud. 2018. Bayesian latent class analysis with shrinkage priors: An application to the Hungarian heart disease data. Second International Conference on Advances in Statistical Modelling of Ordinal Data (ASMOD 2018)”, Naples, Italien, 26.10. (Details)
  Vana, Laura, Hirk, Rainer, Hornik, Kurt. 2018. Credit Risk Applications of Multivariate Ordinal Regression Models Using the R Package mvord. Data Science in Finance with R (DSF-R 2018), Vienna, Austria, 13.09-14.09. (Details)
  Kastner, Gregor. 2018. Dealing with Stochastic Volatility in Time Series Using the R packages stochvol and factorstochvol. 1st International Conference on Data Science in Finance with R (DSF-R), Vienna, Österreich, 13.09.14.09. Invited Talk (Details)
  Grün, Bettina. 2018. Discussion of the invited papers session “Prior specifications for finite Bayesian mixture models”. Joint Statistical Meetings (JSM 2018), Vancouver, Kanada, 02.08. (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2018. Learning the number of components and data clusters in Bayesian finite mixture models. Statistische Woche, Linz, Österreich, 11.09.-14.09. (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2018. Learning the number of components and data clusters in Bayesian finite mixture models. Joint Statistical Meetings (JSM 2018), Vancouver, Kanada, 01.08. (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2018. Learning the number of components and data clusters in Bayesian finite mixture models. Summer Session of the Working Group on Model-Based Clustering, Ann Arbor, Vereinigte Staaten/USA, 18.07. (Details)
  Philipp, Michel, Rusch, Thomas, Strobl, Carolin, Hornik, Kurt. 2018. Measuring the Stability of Recursive Partitioning Methods . European Conference on Data Analysis (ECDA), Paderborn, Germany, 04.07.-06.07. open access (Details)
  Hirk, Rainer, Hornik, Kurt, Vana, Laura. 2018. mvord: An R Package for Fitting Multivariate Ordinal Regression Models. Vienna<-R 2018, Vienna, Austria, 13.06. (Details)
  Hirk, Rainer, Hornik, Kurt, Vana, Laura. 2018. mvord: An R Package for Fitting Multivariate Ordinal Regression Models. UseR! 2018, Brisbane, Australia, 10.07-13.07. (Details)
  Grün, Bettina. 2018. Prior specification in Bayesian latent class analysis. workshop “Challenges for Categorical Data Analysis (CCDA 2018)”, Aachen, Deutschland, 23.10. (Details)
  Huber, Florian, Kastner, Gregor, Feldkircher, Martin. 2018. Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models. 12th International Conference on Computational and Financial Econometrics (CFE 2018), University of Pisa, Italy, 14.12.-16.12. Invited Talk (Details)
  Feldkircher, Martin, Huber, Florian, Kastner, Gregor. 2018. Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs? 1st Vienna Workshop on Economic Forecasting, Institute for Advanced Studies, Vienna, Austria, 15.02.-16.02. (Details)
  Kastner, Gregor, Huber, Florian. 2018. Sparse Bayesian Vector Autoregressions in Huge Dimensions. BAYESCOMP 2018, Universitat Pompeu Fabra, Barcelona, Spain, 26.03.-28.03. Invited Talk (Details)
  Rusch, Thomas, Mair, Patrick, Hornik, Kurt. 2018. The STOPS framework for structure-based hyperparameter selection in multidimensional scaling. Data Science, Statistics & Visualisation (DSSV2018), Vienna, Austria, 09.07.-11.07. open access (Details)
  Grün, Bettina. 2018. Tools and methods for model-based clustering in R. Septième Rencontres R, Rennes, Frankreich, 05.07. (Details)
  Malsiner-Walli, Gertraud, Grün, Bettina. 2018. Variable selection in Bayesian latent class analysis using shrinkage priors. CFE-CM Statistics 2018, Pisa, Italien, 14.12. (Details)
  Malsiner-Walli, Gertraud, Grün, Bettina. 2018. Variable selection in Bayesian latent class analysis using shrinkage priors. Workshop on Clustering Methods and Applications, Universität Bozen, Italien, 26.10. (Details)
2017 Vana, Laura, Hirk, Rainer, Hornik, Kurt. 2017. A joint model of firm failure and credit ratings. 1st International Conference on Econometrics and Statistics (EcoSta 2017), Hongkong, China, 15.06-17.06. (Details)
  Huber, Florian, Kastner, Gregor, Feldkircher, Martin. 2017. A New Approach Toward Detecting Structural Breaks in Vector Autoregressive Models. 8th European Seminar on Bayesian Econometrcis (ESOBE 2017), Maastricht, Netherlands, 26.10.-27.10. (Details)
  Philipp, Michel, Rusch, Thomas, Hornik, Kurt, Zeileis, Achim, Strobl, Carolin. 2017. Assessing the stability of trees and other statistical learning results. International Meeting of the Psychometric Society (IMPS2017), Zürich, Switzerland, 18.07.-21.07. (Details)
  Vana, Laura. 2017. Dynamic modeling of credit risk measures. CFE 2017, London, United Kingdom, 16.12-18.12. (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2017. Inferring components and clusters in Bayesian finite mixture modelling. Working Group on Computational and Methodological Statistics (ERCIM), Senate House, University of London, UK, Großbritannien, 16.12.2017. (Details)
  Grün, Bettina, Dolnicar, Sara. 2017. Joint model-based clustering for ordinal survey data. 10th International Conference of the ERCIM Working Group on Computational and Methodological Statistics”, London, Großbritannien, 16.12.-18.12. (Details)
  Hirk, Rainer, Hornik, Kurt, Vana, Laura. 2017. Multivariate ordinal regression models: An analysis of corporate credit ratings. 1st International Conference on Econometrics and Statistics (EcoSta 2017), Hongkong, China, 15.06-17.06. (Details)
  Hirk, Rainer, Hornik, Kurt, Vana, Laura. 2017. Multivariate ordinal regression models: An analysis of corporate credit ratings. JSM 2017, Baltimore, Vereinigte Staaten/USA, 29.07-03.08. (Details)
  Brosnan, Kylie, Grün, Bettina, Dolnicar, Sara. 2017. PC, phone or tablet? Use, preference and completion rates for web surveys. PUMA Symposium “Stichprobenverfahren und Repräsentativität - Zufällige und nichtzufällige Auswahltechniken zur Datenerhebung in den Sozialwissenschaften”, Linz, Österreich, 13.10. (Details)
  Schwendinger, Florian, Theußl, Stefan, Hornik, Kurt. 2017. ROI - R Optimization Infrastructure. UseR 2017, Brüssel, Belgien, 03.07-07.07. (Details)
  Feldkircher, Martin, Huber, Florian, Kastner, Gregor. 2017. Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs? NBP Workshop on Forecasting, Narodowy Bank Polski, Poland, 20.11.-21.11. Invited Talk (Details)
  Kastner, Gregor. 2017. Sparse Bayesian time-varying covariance estimation in many dimensions. 61st World Statistics Congress (ISI 2017), Marrakech, Morocco, 16.07.-21.07. Invited Talk (Details)
  Rusch, Thomas, Mair, Patrick, Hornik, Kurt. 2017. The STOPS Framework for Parameter Selection in Multidimensional Scaling. Psychoco 2017, Vienna, Austria, 09.02-10.02. (Details)
2016 Vana, Laura, Hirk, Rainer, Hornik, Kurt. 2016. A joint model of firm failure and credit ratings. CFE 2016 10th International Conference on Computational and Financial Econometrics, Sevilla, Spain, 09.12.-11.12. (Details)
  Malsiner-Walli, Gertraud, Wagner, Helga, Pauger, Daniela, Grün, Bettina. 2016. Effect fusion using sparse finite mixtures. Summer Session of the Working Group on Model-Based Clustering, Universite` Paris Descartes, Frankreich, 19.07.2016. (Details)
  Vana, Laura and Schwendinger, Florian and Hochreiter, Ronald. 2016. Portfolio Optimization modeling. RFinance 2016, Chicago, United States/USA, 20.05.-21.05. (Details)
  Kastner, Gregor. 2016. Sparse Bayesian time-varying covariance estimation in many dimensions. 10th International Conference on Computational and Financial Econometrics (CFE 2016), University of Seville, Spain, 09.12.-11.12. Invited Talk (Details)
  Kastner, Gregor. 2016. Sparse time-varying covariance estimation in many dimensions. ISBA World Meeting, Sardinia, Italy, 13.06.-17.06. (Details)
  Kastner, Gregor. 2016. Sparse time-varying covariance estimation in many dimensions. 3rd Bayesian Young Statisticians Meeting (BAYSM 2016), Florence, Italy, 19.06.-21.06. (Details)
2015 Kastner, Gregor. 2015. Sparse Bayesian Latent Factor Stochastic Volatility Models for Dynamic Covariance Estimation in High-Dimensional Financial Time Series. NBER-NSF Time Series Conference, WU Vienna University of Economics and Business, Österreich, 25.09.-26.09. (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2015. Sparse Bayesian Latent Factor Stochastic Volatility Models for High-Dimensional Financial Time Series. International Work-Conference on Time Series Analysis (ITISE 2015), Granada, Spanien, 01.07.-03.07. (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2015. Sparse Bayesian Latent Factor Stochastic Volatility Models for High-Dimensional Financial Time Series. 2nd Vienna Workshop on High-Dimensional Time Series in Macroeconomics and Finance, IHS Wien, Österreich, 21.05-22.05. (Details)
  Grün, Bettina. 2015. Bayesian regularized mixture models. Summer Session of the Working Group on Model-Based Clustering, Seattle, Vereinigte Staaten/USA, 20.07. (Details)
  Grün, Bettina. 2015. Current status and future directions for The R Journal. R Summit & Workshop 2015, Copenhagen Business School, Dänemark, 28.06. (Details)
  Kastner, Gregor. 2015. Dealing with Dynamic Covariances in High-Dimensional Time Series: A Bayesian Approach. 9th CSDA International Conference on Computational and Financial Econometrics (CFE 2015), Senate House, University of London, United Kingdom, 12.12.-14.12. Invited Talk (Details)
  Rusch, Thomas, Zeileis, Achim, Hornik, Kurt. 2015. Logistic regression trees for ordinal and preference data. CLADAG 2015, Cagliari, Italy, 09.10.-11.10. (Details)
  Grün, Bettina. 2015. Mixture models for ordinal data. International Workshop “Alternative Perspectives in Ordinal Data Modelling”, Naples, Italien, 26.10. (Details)
  Vana, Laura, Grün, Bettina, Hornik, Kurt. 2015. Modeling creditworthiness using a generalized linear mixed effects approach. CFE 2015 9th International Conference on Computational and Financial Econometrics, London, United Kingdom, 02.12-04.12. (Details)
  Grün, Bettina, Malsiner-Walli, Gertraud. 2015. Regularizing finite mixtures of Gaussian distributions. 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG 2015), Santa Margherita di Pula, Italien, 08.10. (Details)
  Kastner, Gregor. 2015. Sparse Bayesian Latent Factor Stochastic Volatility Models for Dynamic Covariance Estimation in High-Dimensional Financial Time Series. 6th ESOBE Annual Conference, Study Center Gerzensee, Switzerland, Switzerland, 29.10.-30.10. (Details)
2014 Kastner, Gregor. 2014. Dealing with stochastic volatility in time series using the R package stochvol. R/Finance, University of Illinois at Chicago, Vereinigte Staaten/USA, 16.05.-17.05. (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2014. Sparse Bayesian Latent Factor Stochastic Volatility Models for High-Dimensional Financial Time Series. 11th German Probability and Statistics Days, Ulm University, Deutschland, 04.03.-07.03. (Details)
  Pittner, Stefan, Frühwirth-Schnatter, Sylvia. 2014. Probabilistic Clustering of Panel Time Series Using a Time-Inhomogenous Model Built Around Markov Chains. 14th Annual Conference of European Network for Business and Industrial Statistics, Linz, Österreich, 21.09.-25.09. (Details)
  Grün, Bettina. 2014. Flexible and sparse Bayesian model-based clustering. Oberseminar Datenanalyse und Statistik, University of Augsburg, Deutschland, 24.10. (Details)
  Grün, Bettina. 2014. Flexible and sparse Bayesian model-based clustering. Workshop on “Clustering Methods and Their Applications" Free University of Bozen-Bolzano, Italien, 28.11. (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2014. Identifying mixtures of mixtures using Bayesian estimation. Olomoucian Days of Applied Mathematics 2015 (ODAM), Palacký University, Olomouc, Tschechische Republik, 21.05. (Details)
  Grün, Bettina. 2014. Mixture models for text mining in R. 14th Annual Conference of the European Network for Business and Industrial Statistics (ENBIS-14), Johannes Kepler University Linz, Österreich, 23.09. (Details)
  Grün, Bettina, Hornik, Kurt. 2014. On standard conjugate families for natural exponential families with bounded natural parameter space. 1th German Probability and Statistics Days 2014, Ulm, Deutschland, 07.03. (Details)
2013 Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2013. Sparse Bayesian Latent Factor Stochastic Volatility Models for High-Dimensional Financial Time Series. 7th CSDA International Conference on Computational and Financial Econometrics (CFE’13), Senate House, University of London, Großbritannien, 14.12.-16.12. Invited Talk (Details)
  Bitto, Angela, Frühwirth-Schnatter, Sylvia. 2013. Time-Varying Parameter Models -Achieving Shrinkage and Variable Selection. 1st Vienna Workshop on High Dimensional Time Series in Macroeconomics and Finance 2013, Wien, Österreich, 02.05-04.05. (Details)
  Frühwirth-Schnatter, Sylvia, Pittner, Stefan, Weber, Andrea, Winter-Ebmer, Rudolf. 2013. Capturing the Treatment Effect of Bankruptcy on Employment Profiles Through Model-Based Clustering. Meeting of the National Research Network "The Austrian Center for Labor Economics and the Analysis of the Welfare State", Innsbruck, Österreich, 12.09.-13.09.. (Details)
  Hochreiter, Ronald, Waldhauser, Christoph. 2013. Classification of 3-D Airborne Laser Scanning Data. Advances in Simulation-Driven Optimization and Modeling (ASDOM 2013), Reykjavik, Island, 09.08.-11.08.. Invited Talk (Details)
  Frühwirth-Schnatter, Sylvia, Pittner, Stefan, Weber, Andrea, Winter-Ebmer, Rudolf. 2013. Development of Employment Status After Bankruptcy: Model-Based Clustering Using a Mixture of Time-Inhomogeneous Markov Chains. 1st Workshop in Applied Econometrics, Wien, Österreich, 13.05-13.05. (Details)
  Maier, Marco. 2013. Dirichlet-Multinomiale Regressionsmodelle in der Psychologie. 11. Tagung der Fachgruppe Methoden & Evaluation (FGME) der Deutschen Gesellschaft für Psychologie (DGPs), Klagenfurt, Österreich, 19.09.-21.09.. (Details)
  Frühwirth-Schnatter, Sylvia, Pittner, Stefan, Weber, Andrea, Winter-Ebmer, Rudolf. 2013. Model-Based Clustering for Studying the Impact of Bankruptcy on the Employee's Future. 20th Summer Working Group on Model-Based Clustering, Bologna, Italien, 21.07.-27.07.. (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2013. Analysis of Multivariate Financial Time Series via Bayesian Factor Stochastic Volatility Models. y-BIS 2013: Joint Meeting of Young Business and Industrial Statisticians, Mimar Sinan Fine Arts University, Istanbul, Türkei, 19.09.-21.09. Invited Talk (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2013. Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility (SV) Models. Joint Statistical Meetings, Montréal, Kanada, 03.08.-08.08. (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2013. Analysis of Exchange Rates via Multivariate Bayesian Factor Stochastic Volatility Models. 1st Bayesian Young Statisticians Meeting (BAYSM 2013), Milano, Italien, 05.06.-06.06. (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2013. Dealing with Stochastic Volatility in (Financial) Time Series: A Bayesian Approach. 1st WU-Workshop in Applied Econometrics (WUWAETRIX), WU Vienna University of Economics and Business, Österreich, 13.05. (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2013. Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models. 1st Vienna Workshop on High Dimensional Time Series in Macroeconomics and Finance, IHS Wien, Österreich, 02.05.-04.05. (Details)
  Maier, Marco. 2013. Dirichlet-Multinomial Regression Models in R. Psychoco 2013: International Workshop on Psychometric Computing, Zürich, Schweiz, 14.02-15.02.. (Details)
  Grün, Bettina, Ponweiser, Martin, Hornik, Kurt. 2013. Finding scientific topics revisited. SIS 2013 Statistical Conference: Advances in Latent Variables - Methods, Models and Applications, Brescia, Italien, 19.06. (Details)
  Grün, Bettina. 2013. Modeling longitudinal data with finite mixtures of regression models. 7th International Workshop on Simulation, Rimini, Italien, 23.05. (Details)
  Grün, Bettina, Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia. 2013. On prior choice in Bayesian model-based clustering. Summer Session of the Working Group on Model-Based Clustering, Bologna, Italien, 26.07. (Details)
  Dolnicar, Sara, Grün, Bettina, Leisch, Friedrich. 2013. Sample size requirements for market segmentation studies. IIBSoR Research Retreat, Shoalhaven Heads, Australien, 06.02. (Details)
2012 Maier, Marco, Hatzinger, Reinhold, Rusch, Thomas, Mair, Patrick. 2012. Neues in eRm (ein R-Paket für 'extended Rasch modeling'). 10. Tagung der Österreichischen Gesellschaft für Psychologie, Graz, Österreich, 12.04.-14.04.. (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2012. Strategies for Boosting MCMC Estimation of Multivariate Factor Stochastic Volatility (SV) Models. 17th Young Statisticians Meeting, Piran, Slowenien, 12.10.-14.10. Invited Talk (Details)
  Ring, Amata, Maier, Marco. 2012. Perspectives on destination competitiveness - National destination competitiveness' influence on regional attractiveness. 2012 AMS World Marketing Congress – Cultural Perspectives in Marketing, Atlanta, Vereinigte Staaten/USA, 28.08.-01.09.. (Details)
  Püspök, Rudolf, Waldhauser, Christoph, Tatzer, Ernst. 2012. Primärversorgung bei niedergelassenen Kinder- und JugendärztInnen. 6. Jahrestagung der politischen Kindermedizin, Salzburg, Österreich, 19.10.-20.10.. Vortrag auf Einladung (Details)
  Grün, Bettina. 2012. Flexible modeling of mixtures of regressions. Summer Session of the Working Group on Model-Based Clustering, Guelph, Kanada, 19.07. (Details)
  Grün, Bettina. 2012. Mixture models in text mining. FSP Empirical Economics and Econometrics (EmpEc), Innsbruck, Österreich, 20.03. (Details)
2011 Maier, Marco. 2011. DirichletReg - Modeling Compositional Data in R. Psychoco 2011: International Workshop on Psychometric Computing, Tübingen, Deutschland, 24.02-25.02. (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia. 2011. Improving MCMC Efficiency for Bayesian SV Estimation by Non-Centering and Interweaving. 17th European Young Statisticians Meeting, Universidade Nova de Lisboa, Portugal, 05.09.-09.09. Invited Talk (Details)
  Waldhauser, Christoph, Hochreiter, Ronald. 2011. What lurks beneath: Hazards in using data-driven non-parametric approaches in voting studies. ECPR General Conference, Reykjavík, Island, 25.08-28.08. (Details)
  Maier, Marco. 2011. Eine Alternative zu nominalen Antwortformaten und deren Analyse: Die Dirichletverteilung und Dirichletregressionsmodelle in R mit DirichletReg. 10. Tagung der Fachgruppe Methoden & Evaluation der DGPs, Bamberg, Deutschland, 21.09.-23.09.. (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia. 2011. Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models. 5th CSDA International Conference on Computational and Financial Econometrics (CFE'11), Senate House, University of London, Großbritannien, 17.12.-19.12. (Details)
  Zeileis, Achim, Grün, Bettina, Cribari-Neto, Francisco. 2011. Beta regression: Shaken, stirred, mixed, and partitioned. useR! 2011, Warwick, Großbritannien, 16.8.-18.08. (Details)
  Grün, Bettina, Hornik, Kurt. 2011. Fitting finite mixtures of von Mises-Fisher distributions using the R package movMF. 4th International Conference of the ERCIM Working Group on Computing & Statistics, London, Großbritannien, 17.12-19.12. (Details)
  Grün, Bettina. 2011. Mixture models in text mining - Tools in R. BioMed-S Retreat, Bernried, Deutschland, 08.11. (Details)
2010 Kastner, Gregor, Frühwirth-Schnatter, Sylvia. 2010. Efficient Bayesian Inference for Stochastic Volatility Models. 4th CSDA International Conference on Computational and Financial Econometrics (CFE'10), Senate House, University of London, Großbritannien, 10.12.-12.12. (Details)
  Maier, Marco, Ring, Amata, Teichmann, Karin. 2010. Ethnocentrism revisited: applying an alternative measurement approach. Consumer Behavior in Tourism Symposium, Bruneck, Italien, 1.12.-4.12.. (Details)
  Grün, Bettina, Hornik, Kurt. 2010. topicmodels: An R package for fitting topic models. 3rd International Conference of the ERCIM Working Group on Computing & Statistics, London, Großbritannien, 10.12.-12.12. (Details)
2005 Grün, Bettina, Leisch, Friedrich. 2005. Analyzing the model fit of finite mixture models. “Joint Statistical Meetings (JSM 2005), Minneapolis, Vereinigte Staaten/USA, 7.8.-11.8. (Details)

Poster presented at an academic conference or symposium

2020 Knaus, Peter, Bitto-Nemling, Angela, Cadonna, Annalisa, Frühwirth-Schnatter, Sylvia. 2020. Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP. Bayes Comp 2020, Gainesville, United States/USA, 7.1.-10.1. (Details)
2019 Feldkircher, Martin, Huber, Florian, Kastner, Gregor. 2019. Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs? 10th European Seminar on Bayesian Econometrics (ESOBE 2019), St. Andrews, United Kingdom, 02.09.-03.09. (Details)
2018 Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2018. Learning the number of components and data clusters in Bayesian finite mixture models. Workshop on Model-Based Clustering and Classification, Catania, Italien, 05.09.-07.09. (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2018. Learning the number of components and data clusters in Bayesian finite mixture models. International Society for Bayesian Analysis (ISBA) World Meeting, Edinburgh, Großbritannien, 24.06-29.06. (Details)
  Kastner, Gregor, Huber, Florian. 2018. Sparse Bayesian Vector Autoregressions in Huge Dimensions. ISBA World Meeting 2018, Edinburgh, United Kingdom, 24.06.-29.06. (Details)
2017 Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2017. Inferring components and clusters in Bayesian finite mixture modelling. Summer Session of the Working Group on Model-Based Clustering, Perugia, Italien, 18.07. (Details)
  Hirk, Rainer, Hornik, Kurt, Vana, Laura. 2017. Multivariate ordinal regression models using the R package MultOrd. useR!2017, Brussels, Belgien, 04.07-07.07. (Details)
  Kastner, Gregor, Huber, Florian. 2017. Sparse Bayesian Vector Autoregressions in Huge Dimensions. 3rd Vienna Workshop on High-Dimensional Time Series in Macroeconomics and Finance, Vienna, Austria, 08.06.-09.06. (Details)
2016 Malsiner-Walli, Gertraud, Wagner, Helga, Pauger, Daniela. 2016. Effect fusion using sparse finite mixtures. International Society for Bayesian Analysis (ISBA) World Meeting, Forte Village Resort Convention Center Sardinia. Italien, 15.06.2016. (Details)
  Huber, Florian, Kastner, Gregor, Feldkircher, Martin. 2016. Should I Stay or Should I Go? Bayesian Inference in the Threshold Time Varying Parameter (TTVP) Model. 7th European Seminar on Bayesian Econometrics (ESOBE 2016), Venice, Italy, 27.10.-28.10. (Details)
2015 Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2015. Dynamic covariance estimation using sparse Bayesian factor stochastic volatility models. 30th International Workshop on Statistical Modelling (IWSM 2015), Linz, Österreich, 06.07.-10.07. (Details)
2014 Pittner, Stefan, Frühwirth-Schnatter, Sylvia. 2014. Clustering of Categorical Time Series by Modelling Their Time-Varying Dynamics. 21st Summer Working Group on Model-Based Clustering, Dublin, Irland, 20.07.-26.07.. (Details)
  Pittner, Stefan, Frühwirth-Schnatter, Sylvia. 2014. Individual Textile Shopping Data - Typical Temporal Patterns and Forecasting Through Model-Based Clustering. International Society for Bayesian Analysis World Meeting, Cancun, Mexiko, 14.07.-18.07.. (Details)
  Frühwirth-Schnatter, Sylvia, Posekany, Alexandra. 2014. Merging parallel MCMC output for horizontally partitioned data. MCMSki 2014, Chamonix, Frankreich, 05.01-08.01. (Details)
2013 Bitto, Angela, Frühwirth-Schnatter, Sylvia. 2013. Time-Varying Parameter Models -Achieving Shrinkage and Variable Selection.. European Seminar on Bayesian Econometrics (ESOBE), Oslo, Norwegen, 22.08-23.08. (Details)
  Frühwirth-Schnatter, Sylvia, Halla, Martin, Posekany, Alexandra, Pruckner, Gerald, Schober, Thomas. 2013. Applying standard and semiparametric Bayesian IV for health economic data. EFaB@Bayes250, Raleigh, NC, Vereinigte Staaten/USA, 14.12-17.12. (Details)
  Grün, Bettina, Hornik, Kurt. 2013. movMF: An R package for fitting mixtures of von Mises-Fisher distributions. Summer Session of the Working Group on Model-Based Clustering, Bologna, Italien, 23.07. (Details)
2012 Bitto, Angela, Frühwirth-Schnatter, Sylvia. 2012. Time-Varying Parameter Models -Achieving Shrinkage and Variable Selection. European Seminar on Bayesian Econometrics (ESOBE), Wien, Wien, Österreich, 01.11-02.11. (Details)
  Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2012. Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility (SV) Models. European Seminar on Bayesian Econometrics (ESOBE), Wien, Österreich, 01.11.-02.11. (Details)
2011 Kastner, Gregor, Frühwirth-Schnatter, Sylvia. 2011. Efficient Bayesian Inference for Stochastic Volatility Models. Workshop on Bayesian Inference for Latent Gaussian Models with Applications, Universität Zürich, Schweiz, 02.02.-05.02. (Details)
2009 Hofer, Natalie, Schweiger, Günter. 2009. Eye Movement Patterns on Innovative and Non-Innovative Yellow Pages Advertisements. Annual Winter Conference of the Society for Consumer Psychology 2009, San Diego, Vereinigte Staaten/USA, 12.02.-14.02.. (Details)
2008 Hofer, Natalie, Schweiger, Günter. 2008. Eye movement patterns on Innovative and Non-Innovative Yellow Pages Advertisements. Conference on Neuroeconomics 2008, Kopenhagen, Dänemark, 15.05.-16.05.. (Details)
2006 Grün, Bettina, Leisch, Friedrich. 2006. Finite mixture model diagnostics using the parametric bootstrap. Junior Scientist Conference (JSC), Wien, Österreich, 19.04.-21.04. (Details)

Working/discussion paper, preprint

2017 Huber, Florian, Kastner, Gregor, Feldkircher, Martin. 2017. A New Approach Toward Detecting Structural Breaks in Vector Autoregressive Models. (Details)
  Philipp, Michel, Rusch, Thomas, Hornik, Kurt, Strobl, Carolin. 2017. Measuring the Stability of Results from Supervised Statistical Learning. open access (Details)
  Hirk, Rainer, Hornik, Kurt, Vana, Laura. 2017. Multivariate Ordinal Regression Models: An Analysis of Corporate Credit Ratings. Research Report Series, Institute for Statistics and Mathematics, Report 132. open access (Details)
  Theußl, Stefan, Schwendinger, Florian, Hornik, Kurt. 2017. ROI: The R Optimization Infrastructure Package. (Details)
  Feldkircher, Martin, Huber, Florian, Kastner, Gregor. 2017. Sophisticated and Small Versus Simple and Sizeable: When Does it Pay Off to Introduce Drifting Coefficients in Bayesian VARs? (Details)
  Kastner, Gregor, Huber, Florian. 2017. Sparse Bayesian Vector Autoregressions in Huge Dimensions. (Details)
2016 Bitto, Angela, Frühwirth-Schnatter, Sylvia. 2016. Achieving Shrinkage in a Time-Varying Parameter Model Framework. (Details)
  Rusch, Thomas, Hornik, Kurt, Mair, Patrick. 2016. Assessing and quantifying clusteredness: The OPTICS Cordillera. Discussion Paper Series / Center for Empirical Research Methods, Report 2016/1. WU Vienna University of Economics and Business. open access (Details)
  Kastner, Gregor. 2016. Sparse Bayesian Time-Varying Covariance Estimation in Many Dimensions. (Details)
2015 Kastner, Gregor. 2015. Heavy-Tailed Innovations in the R Package stochvol. R Package Vignette. open access (Details)
  Kastner, Gregor. 2015. Dealing with Stochastic Volatility in Time Series Using the R Package stochvol. R Package Vignette. (Details)
2014 Maier, Marco, Koller, Ingrid. 2014. Supplement to Koller, Maier, & Hatzinger: "An Empirical Power Analysis of Quasi-Exact Tests for the Rasch Model: Measurement Invariance in Small Samples". Research Report Series / Department of Statistics and Mathematics, 127. (Details)
  Maier, Marco. 2014. DirichletReg: Dirichlet Regression for Compositional Data in R. Research Report Series / Department of Statistics and Mathematics, 125. (Details)

Book or article review

2017 Kastner, Gregor. 2017. Besprechung von Statistik und Intuition. Alltagsbeispiele kritisch hinterfragt, von Katharina Schüller. Internationale Mathematische Nachrichten 235, 46-47. (Details)

Textbook

2014 Hatzinger, Reinhold, Hornik, Kurt, Nagel, Herbert, Maier, Marco. 2014. R: Einführung durch angewandte Statistik. 2. Auflage. München: Pearson Studium. (Details)
2012 Hackl, Peter. 2012. Einführung in die Ökonometrie. 2., aktualisierte Auflage. München: Pearson Studium. (Details)

Lecture notes/article in lecture notes

2014 Maier, Marco, Hatzinger, Reinhold. 2014. Angewandte Statistik mit R. 2. Auflage Wien: Facultas. (Details)
2011 Maier, Marco, Hatzinger, Reinhold. 2011. Angewandte Statistik mit R. Wien: facultas wuv. (Details)

Dissertation

2014 Malsiner-Walli, Gertraud. 2014. Parsimonious Finite Mixture Models. Dissertation, Johannes Kepler University. (Details)

Master thesis

2010 Malsiner-Walli, Gertraud. 2010. Bayesian Variable Selection in Normal Regression Models. Masterarbeit, Johannes Kepler University. (Details)

Magazine/newspaper article

2020 Knaus, Peter, Bitto-Nemling, Angela, Cadonna, Annalisa, Frühwirth-Schnatter, Sylvia. 2020. shrinkTVP - Time-Varying Parameter Models with Shrinkage in R. The ISBA Bulletin - The official bulletin of the International Society for Bayesian Analysis, 24.03.20 (Details)
2019 Hosszejni, Darjus, Kastner, Gregor. 2019. stochvol 2.0.0 - Stochastic volatility models with leverage in R. The ISBA Bulletin - The official bulletin of the International Society for Bayesian Analysis, 26.03.19 (Details)
2014 Posekany, Alexandra, Bitto-Nemling, Angela, Kastner, Gregor. 2014. News from BAYSM 2014. The ISBA Bulletin - The official bulletin of the International Society for Bayesian Analysis , 13.10.14 (Details)

Unpublished lecture

2018 Grün, Bettina. 2018. Flexible and sparse Bayesian model-based clustering. Dipartimento di Statistica, Informatica, Applicazioni “Giuseppe Parenti”, 2018, 19.12.18 (Details)
  Kastner, Gregor. 2018. Efficient Bayesian Estimation of Univariate and Multivariate Stochastic Volatility Models. Summer School in Bayesian Econometrics, University of Kopenhagen, 10.08.18 (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2018. Learning the number of components and data clusters in Bayesian finite mixture models. Research Seminar of the Department of Statistics, Miami University, Oxford, 24.07.18 (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2018. Learning the number of components and data clusters in Bayesian finite mixture models. Research Seminar “Empirical Economics and Econometrics”, University of Innsbruck, 26.06.18 (Details)
  Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina. 2018. Learning the number of components and the number of clusters in Bayesian finite mixture models. WU Vienna University of Economics ans Business, Brown Bag Seminar, Institute of Statistics and Mathematics, 20.06.18 (Details)
  Kastner, Gregor. 2018. Ökonometrie zwischen Frequentismus und Bayes: Die Bayesianische Perspektive. SOLVXII - Debatten in der Ökonomie, WU Wien, 31.05.18 (Details)
  Malsiner-Walli, Gertraud, Hofmarcher, Paul, Grün, Bettina. 2018. Semi-parametric regression under model uncertainty in economic applications. Research Seminar of the Faculty of Economics, University of Ljubljana, 23.04.18 (Details)
2017 Rusch, Thomas. 2017. Item Response Theory in R. Pre-Conference Short Course at the International Meeting of the Psychometric Society (IMPS2017), Zürich, 17.07. (Details)
  Kastner, Gregor. 2017. Should I Stay or Should I Go? Bayesian Inference in the Threshold Time Varying Parameter (TTVP) Model. Brown Bag Seminar, Institute for Statistics and Mathematics, 08.03. (Details)
  Malsiner-Walli, Gertraud. 2017. Sparse Bayesian Finite Mixtures. Brown Bag Seminar, Institute of Statistics and Mathematics, WU Vienna University of Economics ans Business, 18.01. (Details)
2016 Malsiner-Walli, Gertraud. 2016. Statistik studieren - Daten analysieren. Studien Info Messe SIM, Johannes Kepler University Linz, 23.09. (Details)
  Malsiner-Walli, Gertraud. 2016. Wie funktioniert eingentlich eine Wählerstromanalyse? Lange Nacht der Forschung, Johannes Kepler University Linz, 22.04. (Details)
2015 Kastner, Gregor. 2015. Bayesian Estimation and Prediction of High-Dimensional Dynamic Covariance Matrices. Brown Bag Seminar, Institute for Statistics and Mathematics, 18.11. (Details)
  Grün, Bettina. 2015. Flexible and sparse Bayesian model-based clustering. Research Seminar of the Institute of Statistics, Graz University of Technology, 19.06.15 (Details)
2014 Grün, Bettina. 2014. An introduction to topic modeling. Research Seminar of the Digital Data Stream Lab, University of Pavia, University of Pavia, 15.04.14 (Details)
2013 Grün, Bettina. 2013. An introduction to flexible finite mixture modeling. Research Seminar of the Department of Mathematical Analysis and Applications of Mathematics, Palacký University, Olomouc, 30.04.13 (Details)
  Kastner, Gregor. 2013. Bayes Goes Finance: A Simulation-Based Approach to Dealing With Heteroskedasticity in Time Series. Diskussionsforum Junge Statistik, Wien, 21.03. (Details)
2012 Zuba, Martin. 2012. Dimensions of Long-Term Care Expenditures. Young Economists Seminar, TU Wien, 16.03. (Details)
2011 Rusch, Thomas, Mair, Patrick. 2011. Psychometrics with R. Pre-Conference Workshop at the International Meeting of the Psychometric Society (IMPS2011), Hongkong, 18.07. (Details)
2007 Staufer-Steinnocher, Petra. 2007. GeoDa™: New Tools for Exploratory Spatial Data Analysis. Invited Guest Lecture, Institute for Statistics and Operations Research, Slovak University of Agriculture, Nitra, 28.02. (Details)

Software

2019 Knaus, Peter, Bitto-Nemling, Angela, Cadonna, Annalisa, Frühwirth-Schnatter, Sylvia. 2019. shrinkTVP. (Details)
  Rusch, Thomas, Mair, Patrick, de Leeuw, Jan. 2019. cops: Cluster optimized proximity scaling. (Details)
2017 Hirk, Rainer, Hornik, Kurt, Vana, Laura. 2017. mvord: An R Package for Fitting Multivariate Ordinal Regression Models. (Details)
  Kastner, Gregor. 2017. stochvol: Efficient Bayesian Inference for Stochastic Volatility (SV) Models. open access (Details)
  Rusch, Thomas, Mair, Patrick, Hornik, Kurt. 2017. cordillera: Calculation of the OPTICS Cordillera. (Details)
  Kastner, Gregor. 2017. factorstochvol: Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models. (Details)

Projects

2017
Intergenerational mobility: Role of educational background and wealth (2017-2019) (Details)
2007
Modelling Unobserved Heterogeneity Using Mixtures (2007-2010) (Details)
2003
International Workshop „Data Integration and Record Matching”, Vienna (2003-2003) (Details)
2001
Introduction of the e-card - Evaluation of the trial operation (2001-2006) (Details)
2000
Multi-subject longitudinal models with random coefficients and patterned correlation structure (2000-2003) (Details)
1999
The Role of Space in the Creation of New Technological Knowledge in Austria (1999-2000) (Details)
Studying progress: An event history analysis (1999-2002) (Details)
1984
Data compression and information reduction in statistical experiments (Details)
  • Dittrich, Regina (Former researcher)
  • Gimpl-Heersink, Lisa (Former researcher)
  • Grün, Bettina (Details)
  • Gumprecht, Daniela (Former researcher)
  • Hackl, Peter (Former researcher)
  • Hein, Marina (Former researcher)
  • Hirk, Rainer (Details)
  • Hofer, Natalie (Former researcher)
  • Hosszejni, Darjus (Details)
  • Kastner, Gregor (Details)
  • Keusch, Florian (Former researcher)
  • Kiener, Richard (Details)
  • Knaus, Peter (Details)
  • Maier, Marco (Former researcher)
  • Malsiner-Walli, Gertraud (Details)
  • Müller, Werner (Former researcher)
  • Pamminger, Christoph (Former researcher)
  • Pittner, Stefan (Former researcher)
  • Posekany, Alexandra (Former researcher)
  • Rusch, Thomas (Details)
  • Schwendinger, Florian (Former researcher)
  • Vana, Laura (Details)
  • Waldhauser, Christoph (Former researcher)
  • Waltl, Sofie (Details)
  • Zuba, Martin (Former researcher)