A Method to Handle Zero Counts in the Multinomial Model

DOI10.1080/00031305.2018.1444673OpenAlexW2796272744MaRDI QIDQ5868174

Frank Tuyl

Publication date: 20 September 2022

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2018.1444673

zbMATH Keywords

Bayesian inferenceobjective priorsspike and slab priormodel and variable selectionBayes-Laplace prior

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Improving the accuracy of estimating indexes in contingency tables using Bayesian estimators

Cites Work

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• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Rejoinder: ``Overall objective priors
• On Bayesian model and variable selection using MCMC
• Bayesian inference for categorical data analysis
• On the application of symmetric Dirichlet distributions and their mixtures to contingency tables
• Mixtures of Dirichlet distributions and estimation in contingency tables
• Bayesian Variable Selection in Linear Regression
• Probability Theory
• A Note on Priors for the Multinomial Model

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