Gaussian copula-based zero-inflated power series joint models to analyze correlated count data

DOI10.1080/03610918.2020.1795193OpenAlexW3044709518MaRDI QIDQ5042196

Ehsan Bahrami Samani, Fatemeh Rezaee, Mojtaba Ganjali

Publication date: 18 October 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2020.1795193

zbMATH Keywords

latent variableGaussian copulainsurance datacorrelated count responseszero-inflated power series

Mathematics Subject Classification ID

Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)

Cites Work

• Applications of Correlation Models for Biserial Data
• Copula models of joint last survivor analysis
• Response models for mixed binary and quantitative variables
• Dummy Endogenous Variables in a Simultaneous Equation System
• Copula Analysis of Correlated Counts
• Multivariate Correlation Models with Mixed Discrete and Continuous Variables
• Correlation Between a Discrete and a Continuous Variable. Point-Biserial Correlation
• THE THEORY OF CORRELATION BETWEEN TWO CONTINUOUS VARIABLES WHEN ONE IS DICHOTOMIZED
• Unnamed Item

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