likely llc

(As I’m writing this I’m realizing the webcrawler probably starts from Gelman’s blog and parses the comments, so I need to comment more, I’m doing this backwards. Moreover, it’s technically a blog-o-graph, but that’s not as funny as blogosphere, so whatever).

So one resource, that’s helpfun when getting started with Stan:

https://mc-stan.org/

Is Michael Betancourt PhD’s examples. He has a bunch of notebooks in the different programming languages and colloquial explains mathematics.

https://betanalpha.github.io/writing/

Things like,

Identifying mixture models:

https://betanalpha.github.io/assets/chapters_html/mixture_modeling.html

Hamiltonion Monte Carlo

https://betanalpha.github.io/assets/case_studies/identifiability.html

And some other Bayesian modeling techniques, which have become commonplace.

This was helpful for code earlier in my career, but I have a math background, and I like to read papers with so much math it makes my eyes bleed, so I prefer more mathematically rigorous, academic stuff.

But he’s affiliated with the Stan Development Team:

https://github.com/orgs/stan-dev/people

He’s a bit of a meanie, but it was for the greater good so I don’t put it past him. I actually kind of feel him at this point in life. No one has time for this.

Again, I’m trying to connect to the blogosphere:

https://github.com/SermetPekin/rss-discovery-engine

Where the starting seed was:

https://statmodeling.stat.columbia.edu/

And then my website is:

Home

But whatever, this was a lazy post.