TL;DR: You can take a look at my github repo or try it yourself pip install torch-training-loop.

I’m a big fan of Bayesian data analysis using probabilistic programming. Recently, I took a course about Bayesian Data Analysis using the book Doing Bayesian Data Analysis 2nd edition by John K. Kruschke. It’s a great book, and it covers many topics about data analysis using bayesian approach. I highly recommend the book to anyone who wants to learn about bayesian data analysis. The implementations in the book are in R and JAGS/Stan. Thus, I think this will be a good practice to port the models described in the book to Python/Numpyro.

Hello there, my future me. Are you here to revise what Gibbs Sampling with data augmentation is? You are in the right place! However, there are still some problems that I haven’t figured out. I will mark those so you can think about it and update it here. Hopefully, you will do better than I did. Without further ado, let us begin!

About Me

Here is some information about me. If you already know me, you can skip this part. But if you don’t, here it is!

Next you can update your site name, avatar and other options using the _config.yml file in the root of your repository (shown below).