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data36.com | ||
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andrewjaffe.net
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| | | | | [AI summary] A technical discussion of Bayesian statistics, specifically debating the limitations of Bayesian model comparison and advocating for generalized frequentist approaches to model checking and falsification. | |
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www.greaterwrong.com
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| | | | | In a previous post, I argued for treating exposition as a scientific field of inquiry as the best main strategy to use to get people to create more great exposition. However, I did not really explain what "exposition as science" means in detail. So in this post, I give more details, in particular by pointing to examples of things I consider progress and some other ideas on how to make further progress. This list is pretty disorganized, I think mostly because my own thoughts are still disorganized. Some of the items in the list aren't even of the same "type" as others. I hope that I (or someone else!) will come up with a better typology/categorization/"roadmap" of things to do in this space in the future. | |
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codeandculture.wordpress.com
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| | | | | | Gabriel | In response to my review of Ferguson's Square and the Tower, several people have asked me what to read to get a good introduction to social networks. First of all, Part I of Ferguson's book is actually pretty good. I meant it when I said in the review that it's a pretty... | |
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aurimas.eu
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| | | a.k.a. why you should (not ?) use uninformative priors in Bayesian A/B testing. | ||
