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【独家发布】Computational Bayesian Statistics: An Introduction [分享]

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Nicolle 学生认证  发表于 2020-1-13 04:12:43 |显示全部楼层
English | 2019 | ISBN: 1108481035 | 257 Pages | PDF | 3.30 MB

  1. Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on model validation and comparison, transdimensional MCMC, and conditionally Gaussian models. The inclusion of problems makes the book suitable as a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion of Bayesian software - R/R-INLA, OpenBUGS, JAGS, STAN, and BayesX - makes it useful also for researchers and graduate students from beyond statistics
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关键词:introduction Computation Statistics troduction statistic

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shgby 发表于 2020-1-13 07:42:54 来自手机 |显示全部楼层
Computational Bayesian Statistics
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huhuhuhu 发表于 2020-1-13 08:08:40 |显示全部楼层
多谢分享
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glxy980098 发表于 2020-1-13 08:30:32 |显示全部楼层
谢谢分享
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ZZQGIS 发表于 2020-1-13 08:32:05 |显示全部楼层
谢谢分享。。
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lina2006 发表于 2020-1-13 08:52:35 |显示全部楼层
谢谢分享
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HappyAndy_Lo 发表于 2020-1-13 09:12:36 |显示全部楼层
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hyq2003 发表于 2020-1-13 09:48:14 来自手机 |显示全部楼层
Nicolle 发表于 2020-1-13 04:12
English | 2019 | ISBN: 1108481035 | 257 Pages | PDF | 3.30 MB
谢谢分享!
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albertwishedu 发表于 2020-1-13 09:50:05 |显示全部楼层
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tianwk 发表于 2020-1-13 10:00:52 |显示全部楼层
thanks for sharing
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