Solving unobserved heterogeneity with latent class inflated Poisson regression model

DOI10.1080/02664763.2021.1929875OpenAlexW3168860494MaRDI QIDQ5867707

Ting Hsiang Lin, Min-Hsiao Tsai

Publication date: 14 September 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2021.1929875

zbMATH Keywords

heterogeneityPoisson regressionlatent classover-dispersioninflated data

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

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• Maximum likelihood estimation of a compound Poisson process
• Semiparametric estimation of heterogeneous count data models
• A rich family of generalized Poisson regression models with applications
• Semiparametric mixture models for multivariate count data, with application
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
• Model selection criteria for dual-inflated data

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