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