Flexible Models for Complex Data with Applications

Autor: Domien Craens, Slađana Babić, Christophe Ley
Rok vydání: 2021
Předmět:
Zdroj: Annual Review of Statistics and Its Application. 8:369-391
ISSN: 2326-831X
2326-8298
Popis: Probability distributions are the building blocks of statistical modeling and inference. It is therefore of the utmost importance to know which distribution to use in what circumstances, as wrong choices will inevitably entail a biased analysis. In this article, we focus on circumstances involving complex data and describe the most popular flexible models for these settings. We focus on the following complex data: multivariate skew and heavy-tailed data, circular data, toroidal data, and cylindrical data. We illustrate the strength of flexible models on the basis of concrete examples and discuss major applications and challenges.
Databáze: OpenAIRE