图书标签: 统计学 Statistics Computation 统计学习 Bayesian 机器学习 数学 人工智能
发表于2024-12-24
Computational Statistics pdf epub mobi txt 电子书 下载 2024
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.
问题阐述的很清晰
评分问题阐述的很清晰
评分太难了吧
评分非常好的一本教材。
评分127/472: 1.review + Optimization(2.optimization & solving nonlinear equations + 4.EM optimization methods) + Integration & Simulation (5.numerical integration + 6.simulation & Monte Carlo integration)
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Computational Statistics pdf epub mobi txt 电子书 下载 2024