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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
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All the comments and stories posted to Hacker News that reference this book.What a beautiful presentation!Tangentially: I am really enjoying the book "All of Statistics" as a reference for better understanding things like histograms, kernel density functions, etc, and their parameters.
https://www.amazon.com/All-Statistics-Statistical-Inference-...
⬐ emblaeghAren't you refererring to "All of non-parametric statistics"? https://www.amazon.com/All-Nonparametric-Statistics-Springer... Either way I can't recommend these books enough, really opened my eyes to the inner workings of statistics in a rigorous yet accessible way.⬐ lukegoJust ordered that one too :-).I am actually most interested non-parametric statistics, especially to "reformulate" as many statistical tests as possible using a small number of robust primitives (like the bootstrap.) More pointers in that direction would be very welcome :-)
Tangent to a tangent: The other most enjoyable stats book I have found is "Statistical Modeling: A Fresh Approach" http://www.mosaic-web.org/go/StatisticalModeling/
First 200 pageshttps://www.amazon.com/All-Statistics-Statistical-Inference-...
⬐ snomanSassy, but I'll allow it.
A few days ago I found this gem of a book that I think many here would find interesting (if you don't already know it) : http://www.amazon.com/All-Statistics-Statistical-Inference-S...
http://www.amazon.com/All-Statistics-Statistical-Inference-S...
here is a course i have been working through that describes some learning algorithms: http://courses.csail.mit.edu/6.867/lectures.html i also like this book: http://www.amazon.com/All-Statistics-Statistical-Inference-S...
⬐ jacquesmLearning algorithms and statistical inference do not in any way supersede or invalidate the scientific method, they are products of the scientific method.The are very interesting though, that's for sure.
⬐ hcthe products of a thing often supersede it.in this case, the development of inference is certainly a consequence of the development of the scientific method. but the validity of the latter is a mathematical consequence of the validity of the former. bayesian inference is more fundamental.
another good book that informs my personal views on this matter: http://www.amazon.com/Probability-Theory-Logic-Science-Vol/d...