Bayesian Analysis of Semiparametric Mixed-Effects Models for Zero-Inflated Count Data

DOI10.1080/03610920802468699zbMath1167.62025OpenAlexW2105256187MaRDI QIDQ3391829

Xue-Dong Chen

Publication date: 13 August 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920802468699

zbMATH Keywords

Gibbs samplerMetropolis-Hastings algorithmP-splinezero-inflationsemi-parametric mixed-effects models

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (5)

Generalized Additive Models for Zero-Inflated Data with Partial Constraints ⋮ A semiparametric Bayesian approach to joint mean and variance models ⋮ A test for lack-of-fit of zero-inflated negative binomial models ⋮ Bayesian analysis of joint mean and covariance models for longitudinal data ⋮ Zero-and-one-inflated Poisson regression model

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• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
• Zero‐Altered and other Regression Models for Count Data with Added Zeros

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