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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)

Larry Wasserman · 5 HN comments
HN Books has aggregated all Hacker News stories and comments that mention "All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)" by Larry Wasserman.
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Amazon Summary
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
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Hacker News Stories and Comments

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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-...

emblaegh
Aren'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.
lukego
Just 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/

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...
Aug 23, 2009 · hc on Networks are Killing Science
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...
jacquesm
Learning 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.

hc
the 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...

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