Update the best textbooks on every subject list

post by ryan_b · 2018-11-08T20:54:35.300Z · score: 78 (28 votes) · LW · GW · 13 comments

I occasionally refer back to lukeprog's Best Textbooks on Every Subject [LW · GW] post. I thought it might be a good idea to direct people back to it in the hopes of updating the list, for the following reasons:

At ChristianKI's suggestion:

Here are the rules:
1. Post the title of your favorite textbook on a given subject.
2. You must have read at least two other textbooks on that same subject.
3. You must briefly name the other books you've read on the subject and explain why you think your chosen textbook is superior to them.

13 comments

Comments sorted by top scores.

comment by habryka (habryka4) · 2018-11-08T18:15:10.259Z · score: 27 (13 votes) · LW · GW

Yep, I am in favor of this. I think it might even make sense for us to pin that thread to the top for a week or so, so that people see it again, and are encouraged to update it.

comment by Raemon · 2018-11-08T21:51:27.066Z · score: 10 (3 votes) · LW · GW

Note: I just pinned that thread to the top of Frontpage

comment by Dr_Manhattan · 2018-11-08T21:24:08.844Z · score: 12 (3 votes) · LW · GW

Ben Lambert's "A student's guide to Bayesian Statistics" as the best intro to *applied* Bayesian stats. The book starts with very little prerequisites, explains the math well while keeping it to a minimum necessary for intuition, (+has good illustrations) and goes all the way to building models in Stan. (Other good books are McEarlath Statistical Rethinking, Kruschke's Doing Bayesian Data Analysis and Gelman's more math-heavy Bayesian Data Analysis). I recommend Lambert for being the most holistic coverage.

PS. He has a playlist of complementary videos to go along with the book

ETA: I have read McEarlath Statistical Rethinking and Kruschke's Doing Bayesian Data Analysis, skimmed Gelman's Bayesian Data Analysis. Recommend Lambert if you only read 1 book or as your first book in the area.

comment by habryka (habryka4) · 2018-11-08T22:16:23.066Z · score: 11 (6 votes) · LW · GW

I think it's actually still better to post the comments in the original thread, just to have everything be in one place, and now that it's pinned for a week, the new comments will get seen (and generally get more visibility than here).

comment by ChristianKl · 2018-11-09T08:14:58.684Z · score: 8 (4 votes) · LW · GW

The idea of the original post is to always recommend one book over another book. Have you read books Bayesian stat books you consider less good then Ben Lambert's?

comment by Dr_Manhattan · 2018-11-09T16:47:07.963Z · score: 4 (2 votes) · LW · GW

Thanks, added a comment

comment by Raemon · 2018-11-12T22:12:19.017Z · score: 3 (2 votes) · LW · GW

Could you post this in the original thread [LW · GW] so people searching for it see it?

comment by Dr_Manhattan · 2018-11-21T02:22:02.189Z · score: 6 (3 votes) · LW · GW

Done. That thread is uge.

comment by ChristianKl · 2018-11-08T20:50:47.558Z · score: 6 (3 votes) · LW · GW

I would encourage you to edit the rules of the other post into this post.

comment by ryan_b · 2018-11-08T20:55:13.271Z · score: 5 (3 votes) · LW · GW

Done.

comment by rk · 2018-11-08T21:46:24.089Z · score: 4 (3 votes) · LW · GW

Having the rules in the post made me think you wanted new suggestions in this thread. The rest of the post and habryka's comment point towards new comments in the old thread.

If you want people to update the old thread, I would either remove the rules from this post, or add a caveat like "Remember, when you go to post in that thread, you should follow the rules below"

comment by Mackh · 2019-06-25T23:29:20.862Z · score: 3 (2 votes) · LW · GW

A reddit thread on the best introductions to a field or industry, which might make a good addition to this list:

https://www.reddit.com/r/AskReddit/comments/c4glci/professionals_and_experts_of_reddit_what_is_the

comment by Leafcraft · 2018-11-09T09:44:47.208Z · score: 3 (2 votes) · LW · GW

Any suggestions for Sociology/Social Psychology?