Update the best textbooks on every subject list
post by ryan_b
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:
- Old lesswrong is fully integrated now, so we can do it from this site.
- It hasn't been significantly updated in 8 years; since then it seems like the community has both diversified and increased in size, so hopefully we can both broaden and deepen the list.
- In the interim there have been several rounds of people who have done various levels of MIRI's research guide, and it seems like there is richer engagement with the fields surrounding rationality.
- A lot of textbooks get published in 8 years; new ones may be improvements over the old, or we may have gained textbooks for fields which lacked them previously.
- I would be particularly interested in anything which accounts for the replication crisis, especially with respect to important fields like behavioral economics.
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.
Comments sorted by top scores.
comment by habryka (habryka4) ·
2018-11-08T18:15:10.259Z · LW(p) · GW(p)
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. Replies from: Raemon
comment by Dr_Manhattan ·
2018-11-08T21:24:08.844Z · LW(p) · GW(p)
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. Replies from: habryka4, ChristianKl, Raemon
↑ comment by habryka (habryka4) ·
2018-11-08T22:16:23.066Z · LW(p) · GW(p)
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 ·
2018-11-08T20:50:47.558Z · LW(p) · GW(p)
I would encourage you to edit the rules of the other post into this post.Replies from: ryan_b
↑ comment by ryan_b ·
2018-11-08T20:55:13.271Z · LW(p) · GW(p)
Done.Replies from: rk
↑ comment by rk ·
2018-11-08T21:46:24.089Z · LW(p) · GW(p)
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"