Preface
- Acknowledgements
1 Basics of Bayesian linear regression
2 The Divide & Conquer Algorithm
3 Posteriors Using Sufficient Statistics
4 Forward Filtering Backward Sampling - Shared Variance
Appendix
- Deriving \(x_{2} \vert x_{1}\) when \((x_{1} x_{2})^{\mathrm{\scriptscriptstyle T}}\) is a block-normal multivariate random variable

Bayesian Linear Regression Tutorial

Bayesian Linear Regression Tutorial

Xiang Chen, Valentina Arputhasamy, Daniel Zhou, Sudipto Banerjee

2023-03-01

Preface

This is a tutorial for Bayesian Linear Regression assembled in book form.

Acknowledgements