Retaining the general organization and style of its predecessor, this new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing and computational statistics. Approaching the topic in three major parts--optimization, integration, and smoothing--the book includes an overview section in each chapter introduction and step-by-step implementation summaries to accompany the explanations of key methods; expanded coverage of Monte Carlo sampling and MCMC; a chapter on Alternative Viewpoints; a related Web site; new exercises; and more.
具體描述
讀後感
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用戶評價
非常好的一本教材。
评分非常好的一本教材。
评分Radford Neal選用的課本
评分Barta 力薦的書，主要是介紹各種統計學習的應用，相當強大，講Simulated Annealing 那個知識點也隻用瞭半頁，囧死
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