Quotation Sablica, Lukas, Hornik, Kurt. 2020. mistr: A Computational Framework for Mixture and Composite Distributions. The R Journal. 12 (1), 283-299.




Finite mixtures and composite distributions allow to model the probabilistic representationof data with more generality than simple distributions and are useful to consider in a wide rangeof applications. The R packagemistrprovides an extensible computational framework for creating,transforming, and evaluating these models, together with multiple methods for their visualizationand description. In this paper we present the main computational framework of the package andillustrate its application. In addition, we provide and show functions for data modeling using twospecific composite distributions as well as a numerical example where a composite distribution isestimated to describe the log-returns of selected stocks.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal The R Journal
Citation Index SCI
Language English
Title mistr: A Computational Framework for Mixture and Composite Distributions
Volume 12
Number 1
Year 2020
Page from 283
Page to 299
Reviewed? Y
URL https://journal.r-project.org/archive/2020/RJ-2020-003/index.html
DOI http://dx.doi.org/10.32614/RJ-2020-003
Open Access Y
Open Access Link https://journal.r-project.org/archive/2020/RJ-2020-003/index.html


Sablica, Lukas (Details)
Hornik, Kurt (Details)
Institute for Statistics and Mathematics IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1113 Mathematical statistics (Details)
1162 Statistics (Details)
1918 Risk research (Details)
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