Bayesian Categorical Data Analysis
Some interesting research challenges for Bayesian inference arise from binary and categorical data, including more traditional inference problems like contingency tables with sparse data and case-control studies as well as more recent research frontiers like non-standard link function for binary data regression.
KeywordsMonte Carlo Marginal Likelihood Deviance Information Criterion Markov Chain Monte Carlo Sampling High Posterior Density
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