Computer Age Statistical Inference: Algorithms, Evidence, and Data Science
A Academic, Textbooks book. This is a little like Larry Wasserman's books in breadth.
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating...
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- Filetype: PDF
- Pages: 476 pages
- ISBN: 9781107149892 / 0
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More About Computer Age Statistical Inference: Algorithms, Evidence, and Data Science
This is a little like Larry Wasserman's books in breadth. tl;dr - medium grain statistical review from Classic (frequentist, Bayesian) to Modern (Monte Carlo, support vector machines)I may never actually finish reading this book. That's okay because I don't think this is the kind of book you just read. I and several folk I work with are making our way through it, using data from their website... Two experts from Stanford have written a great historical/philosophical/mathematical overview of modern statistics that compares and contrasts frequentist, Bayesian and computer intensive algorithmic approaches to data analysis. I've fooled with all this stuff, but it's a pleasure having professors this smart tie it all together. It...
