临时抱佛脚 发表于 2025-3-23 10:42:13
http://reply.papertrans.cn/19/1819/181832/181832_11.png等级的上升 发表于 2025-3-23 16:59:44
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Markov Chain Monte Carlo Methods,orithms are also general-purpose algorithms, but they also require proposal densities that may be difficult to find for high-dimensional problems. In this chapter, we illustrate the use of Markov chain Monte Carlo (MCMC) algorithms in summarizing posterior distributions.放弃 发表于 2025-3-24 05:01:47
Model Comparison,tation of Bayes factors in both the one-sided and two-sided settings. We then generalize to the setting where one is comparing two Bayesian models, each consisting of a choice of prior and sampling density.不可思议 发表于 2025-3-24 09:59:15
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https://doi.org/10.1007/978-981-99-4997-7rior information in a regression model. We illustrate the use of Zellner’s class of g priors to select among a set of best regression models. We conclude by illustrating the Bayesian fitting of a survival regression model.Collar 发表于 2025-3-24 18:29:07
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http://reply.papertrans.cn/19/1819/181832/181832_19.pngCHARM 发表于 2025-3-25 01:47:12
An Introduction to R,ple Monte Carlo study to explore the behavior of the two-sample t statistic when testing from populations that deviate from the usual assumptions. We will find these data analysis and simulation commands very helpful in Bayesian computation.