# Bayesian Methods

## Machine learning based on bayesian statistics

# Latent Variable Models

Published: 2021-01-27

Category: { bayesian } { machine learning }

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References:
- Trevor Hastie, Robert Tibshirani, J. F. (2004). The Elements of Statistical Learning. Springer Science & Business Media.
- Christpher M. Bishop. (2006). Pattern Recognition and Machine Learning. Springer-Verlag New York.
- What is wrong with VAEs?

Summary: Latent variable models brings us new insights on identifying the patterns of some sample data.

Pages: 4

# Evidence Lower Bound: ELBO

Published: 2021-04-12

Category: { machine learning }

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Summary: ELBO is an very important concept in variational methods

Pages: 4

#
^{2} Bayesian Linear Regression

Published: 2019-06-18

Category: { Machine Learning }

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References:
- Introduction to Bayesian Linear Regression
- Linear Regression: A Bayesian Point of View
- zjost/bayesian-linear-regression

Summary: Bayesian Linear Regression

Pages: 4

#
^{1} Naive Bayes

Published: 2019-06-17

Category: { Machine Learning }

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References:
- Naive Bayesian
- Naive Bayes classifier @ Wikipedia
- Ross, S. M. (2021). Introduction to Probability and Statistics for Engineers and Scientists (6th ed.). Academic Press.

Summary: Naive Bayes

Pages: 4