Modelling count data via copulas

DOI10.1080/02331888.2020.1867140zbMath1472.62074arXiv2012.02021OpenAlexW3120760714MaRDI QIDQ4987237

Samira Zaroudi, S. Yaser Samadi, Hadi Safari-Katesari

Publication date: 29 April 2021

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2012.02021

zbMATH Keywords

copulaSpearman's rhobivariate measure of associationconcordance discordance dependence

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Related Items (1)

Bivariate Mixed Poisson Regression Models with Varying Dispersion

Uses Software

• CopulaModel

Cites Work

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• Simulating dependent discrete data
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• Dependence Modeling with Copulas
• Variational Bayes Estimation of Discrete-Margined Copula Models With Application to Time Series
• Tests of Multivariate Independence for Ordinal Data
• An algorithm for generating correlated random variables in a class of infinitely divisible distributions
• Modeling Multivariate Count Data Using Copulas
• On the properties of some nonparametric concordance measures in the discrete case
• A Primer on Copulas for Count Data
• Testing for independence in arbitrary distributions
• On a Measure of Dependence Between two Random Variables
• The Estimation and Comparison of Strengths of Association in Contingency Tables
• Measures of Association for Cross Classifications
• THE TREATMENT OF TIES IN RANKING PROBLEMS

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