Roberts, O., Rosenthal, S.: Examples of adaptive MCMC. J. Comput. Graph. Stat. 18, 349–367 (2009) MathSciNetRoberts, G.O., Rosenthal, J.S.: Examples of adaptive MCMC. Journal of Computational and Graphical Statistics 18 (2), 349–367 (2009) MathSciNetRoberts, G. O. and ...
Examples of adaptive MCMC. Journal of Computational and Graphical Statistics 18: 349–367. https: //doi.org/10.1198/jcgs.2009.06134. Schwarz, G. 1978. Estimating the dimension of a model. Annals of Statistics 6: 461–464. https://doi.org/10.1214/aos/ 1176344136. Tanner, M. A. 1996. ...
When MCMC sampling is used, it is important to verify the convergence of MCMC; see Convergence of BMA in Remarks and examples of [BMA] bmaregress in the context of linear regression. Posterior model probability (PMP). The PMP is central to all BMA analyses. It represents the probability of...
Example 76.19: Goodness-of-Fit Tests and CalibrationMCMC ProcedureSimple Linear Regression The Behrens-Fisher Problem Random-Effects ModelExample 77.1: Simulating Samples From a Known Density Example 77.2: Box-Cox Transformation Example 77.3: Logistic Regression Model with a Diffuse Prior Example 77.4: ...
MCMC Procedure MDS Procedure MIANALYZE Procedure MIXED Procedure MODECLUS Procedure MULTTEST Procedure NPAR1WAY Procedure ORTHOREG Procedure PHREG Procedure PLAN Procedure PLM Procedure PLS Procedure POWER Procedure PRINCOMP Procedure PRINQUAL Procedure ...
bayesmh fits a variety of Bayesian models including multiple- equation linear and nonlinear models and, like the bayes prefix, estimates parameters using an adaptive MH Markov chain Monte Carlo (MCMC) method. You can choose from a variety of supported Bayesian models by specifying the likelihood(...
Example 24.1: Transformation and Cluster Analysis of Fisher Iris Data ADAPTIVEREG ProcedureGetting Started: ADAPTIVEREG Procedure Example 25.1: Surface Fitting with Many Noisy Variables Example 25.2: Fitting Data with Mixture Structures Example 25.3: Predicting E-Mail Spam Example 25.4: Nonparametric ...