General naive Bayes classification is a classical machine learning technique to predict a discrete value. There are several variations of naive Bayes (NB) including Categorical NB, Bernoulli NB, ...

A Bayesian method for outlier-robust estimation of multinomial choice models is presented. The method can be used for both correlated as well as uncorrelated choice alternatives and guarantees ...

This paper describes a Bayesian procedure for calculating the sample size when sampling from the multinomial distribution. The method is based on a Bayesian implementation of a maximum probability ...