Bayesian semiparametric zero-inflated Poisson model for longitudinal count data

DOI10.1016/J.MBS.2010.01.004OpenAlexW2080948341WikidataQ33525207 ScholiaQ33525207MaRDI QIDQ975970

Getachew A. Dagne

Publication date: 11 June 2010

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2010.01.004

zbMATH Keywords

semiparametric modelrandom effectsBayesian inferenceP-splinezero-inflationinsecticide

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) General biostatistics (92B15) Bayesian inference (62F15)

Related Items (5)

Statistical inference for zero-and-one-inflated poisson models ⋮ Bayesian quantile regression and variable selection for partial linear single-index model: Using free knot spline ⋮ Discrete chaotic dynamics for economics and social science ⋮ Analysis of blood transfusion data using bivariate zero-inflated Poisson model: A Bayesian approach ⋮ Zero-and-one-inflated Poisson regression model

Uses Software

• WinBUGS
• SemiPar
• BayesDA

Cites Work

• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Modelling bivariate count series with excess zeros
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Semiparametric Regression
• Bayesian Measures of Model Complexity and Fit
• Thin Plate Regression Splines
• Hierarchical Bayesian Analysis of Correlated Zero-inflated Count Data
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