[HN Gopher] Statistical Rethinking (2024 Edition)
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       Statistical Rethinking (2024 Edition)
        
       Author : lnyan
       Score  : 55 points
       Date   : 2024-11-16 18:08 UTC (4 hours ago)
        
 (HTM) web link (github.com)
 (TXT) w3m dump (github.com)
        
       | dang wrote:
       | Related. Others?
       | 
       |  _Statistical Rethinking (2022 Edition)_ -
       | https://news.ycombinator.com/item?id=29956390 - Jan 2022 (124
       | comments)
       | 
       |  _Statistical Rethinking [video]_ -
       | https://news.ycombinator.com/item?id=29780550 - Jan 2022 (10
       | comments)
       | 
       |  _Statistical Rethinking: A Bayesian Course Using R and Stan_ -
       | https://news.ycombinator.com/item?id=20102950 - June 2019 (14
       | comments)
        
       | haberman wrote:
       | I'm excited to see the online lecture videos. I previously bought
       | the book from a recommendation I saw online, and have been
       | working through the chapters and doing the exercises in self-
       | study. But I stalled a bit as some of the later chapters were
       | harder to follow. I hope that the video lectures will help.
        
         | 0cf8612b2e1e wrote:
         | The videos are amazing. I watched the first season, and gave a
         | glance at the second or third iteration, which somehow seem
         | even better. He added one clutch visualization which really
         | made a concept click for me.
         | 
         | I thought the book was only so-so, but required to support the
         | nuances of what he discussed in class.
        
       | nextos wrote:
       | It's a great book, but my personal opinion is that it would have
       | benefited from an editor that recommended some small changes. The
       | previous edition had a TOC which was barely usable because all
       | funny jokes in chapter names like "8 Conditional Manatees".
       | Besides, there were too many jokes embedded in some sections,
       | which made them difficult to follow. I think some of these issues
       | are getting addressed in the current edition.
       | 
       | Nonetheless, the book is very well written and all figures and
       | examples show great attention to detail. I found Gelman et al
       | _Regression and Other Stories_ better for teaching newcomers, and
       | surprisingly insightful. _Statistical Rethinking_ is a good
       | choice for a second course, but perhaps too informal at that
       | stage.
        
         | blackeyeblitzar wrote:
         | What are the prerequisites for the topics covered in this book?
         | I feel like the lecture list is hard to understand, maybe sort
         | of like the book's TOC.
        
           | rscho wrote:
           | Honestly, I think there are very little prerequisites. I'm an
           | MD dabbling into stats and found the book very well made as
           | well as understandable.
        
         | rscho wrote:
         | I second that. The TOC is unusable. However, it's probably
         | aligned with the author's intention of it being a course and
         | not a reference book.
        
       | These335 wrote:
       | I tried to follow along with the textbook before but really
       | struggled with the practical side - R is just another world in
       | terms of dependency management and organisation/documentation
       | (compared to python at least). The book had me install some
       | version of a library that was since unsupported. So I thought I
       | would be a nerd and do everything in python instead, but there I
       | had other problems installing pymc. After some hours of failing I
       | just gave up. Can anyone speak to the state of the dependencies
       | in this edition? Has everything been updated? Versions listed?
       | Would love to give this another shot
        
         | wanderingmind wrote:
         | For those looking for pymc and the python implementation of
         | this book, here are the jupyter notebooks for the 2022 edition
         | https://github.com/pymc-devs/pymc-resources/tree/main/Rethin...
        
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       (page generated 2024-11-16 23:00 UTC)