# Bayesian naive Bayes

## Summary

A Bayesian version of naive Bayes in which we place a prior distribution on the latent class assignment parameter.

## Context

This concept has the prerequisites:

- Bayesian parameter estimation: multinomial distribution (Bayesian naive Bayes inference is an example of Bayesian parameter estimation for a multinomial distribution)
- naive Bayes

## Core resources (we're sorry, we haven't finished tracking down resources for this concept yet)

## Supplemental resources (the following are optional, but you may find them useful)

## -Free-

→ Mathematical Monk: Machine Learning (2011)

→ Bayesian Reasoning and Machine Learning

A textbook for a graudate machine learning course.

## See also

- Bayesian logistic regression extends the logistic regression in a similar fashion as Bayesian naive Bayes extends naive Bayes