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CRC2013, Bayesian Data Analysis, Third Edition pdf by Andrew Gelman+Solutions

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    [LV.4]偶尔看看III

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    Bayesian Data Analysis, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)pdf, 2013
    by Andrew Gelman and John B. Carlin

    Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors―all leaders in the statistics community―introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice.

    New to the Third Edition

    Four new chapters on nonparametric modeling
    Coverage of weakly informative priors and boundary-avoiding priors
    Updated discussion of cross-validation and predictive information criteria
    Improved convergence monitoring and effective sample size calculations for iterative simulation
    Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation
    New and revised software code
    The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

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    [LV.9]以坛为家II

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    [LV.3]偶尔看看II

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    [LV.6]常住居民II

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    [LV.7]常住居民III

    发表于 2016-4-19 11:14:24 | 显示全部楼层
    谢谢楼主辛苦分享!!!
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    [LV.4]偶尔看看III

    发表于 2016-9-6 21:33:59 | 显示全部楼层
    谢谢楼主辛苦分享==
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    我喜欢这本胡
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