Bayesian Truncated Poisson Regression with Application to Dutch Illegal Immigrant Data

DOI10.1080/03610910802117073zbMath1151.62311OpenAlexW2095443311MaRDI QIDQ3543702

Helen L. Johnson, Borek D. Puza, Terence J. O'Neill, Simon C. Barry

Publication date: 4 December 2008

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

Full work available at URL: https://pure.bond.edu.au/ws/files/32215368/AM_Bayesian_truncated_poisson_regression_with_application_to_dutch_illegal_immigrant_data.pdf

zbMATH Keywords

Markov chain Monte Carlo methodsMetropolis Hastings algorithmposterior predictive \(p\)-value

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Numerical analysis or methods applied to Markov chains (65C40)

Cites Work

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• Tobit models: A survey
• Group truncated ordinal regression
• Mixture models for capture-recapture count data
• Bayesian methods for generalized linear models with covariates missing at random
• Point and interval estimation of the population size using the truncated Poisson regression model
• Estimating the Complete Sample Size from an Incomplete Poisson Sample
• Inference concerning the size of the zero class from an incomplete poisson sample
• Estimating the Zero Class from a Truncated Poisson Sample
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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