This project aims to explore empirical Bayes multiple regression methods. Here is a collection of occassional unrefined Jupyter Notebooks from my daily work, with a lazy attempt to categorize For my other notebook collections, visit here.

## Posts

Optmization of the penalty function using Lagrange multiplier

Demonstration of EM-VAMP with adaptive shrinkage (ash) prior

Comparison of prediction accuracy of EM-VAMP, Mr.ASH and EBMR

Comparison of prediction accuracy of linear regression methods

Multiple regression (two predictors) with product of normals

Effect of $\sigma_b$ and $\sigma_w$ in EBMR with product of normals

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