痛得哭了
发表于 2025-3-26 22:56:28
Regression Models,el and describe algorithms to simulate from the joint distribution of regression parameters and error variance and the predictive distribution of future observations. One can judge the adequacy of the fitted model through use of the posterior predictive distribution and the inspection of the posteri
的染料
发表于 2025-3-27 04:22:31
Gibbs Sampling,ppose that we partition the parameter vector of interest into . components . = (.1.), where . may consist of a vector of parameters. The MCMC algorithm is implemented by sampling in turn from the . conditional posterior distributions.
poliosis
发表于 2025-3-27 07:26:39
http://reply.papertrans.cn/19/1819/181833/181833_33.png
LAIR
发表于 2025-3-27 10:05:27
http://reply.papertrans.cn/19/1819/181833/181833_34.png
赞美者
发表于 2025-3-27 16:55:02
Claus Hüsselmann,Thomas Hemmannsian inference for a variance for a normal population and inference for a Poisson mean when informative prior information is available. For both problems, summarization of the posterior distribution is facilitated by the use of R functions to compute and simulate distributions from the exponential f
安慰
发表于 2025-3-27 18:51:41
Claus Hüsselmann,Thomas Hemmannation or multinomial parameters, posterior inference is accomplished by simulating from distributions of standard forms. Once a simulated sample is obtained from the joint posterior, it is straightforward to perform transformations on these simulated draws to learn about any function of the paramete
insurgent
发表于 2025-3-28 00:23:53
http://reply.papertrans.cn/19/1819/181833/181833_37.png
误传
发表于 2025-3-28 06:10:56
Rolf Irion,Fabian Schmidt-Schröderrior distribution, but it can be difficult to set up since it requires the construction of a suitable proposal density. Importance sampling and SIR algorithms are also general-purpose algorithms, but they also require proposal densities that may be difficult to find for high-dimensional problems. In
倔强一点
发表于 2025-3-28 08:17:19
http://reply.papertrans.cn/19/1819/181833/181833_39.png
减少
发表于 2025-3-28 12:26:59
http://reply.papertrans.cn/19/1819/181833/181833_40.png