BayesianTools
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florianhartig
General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
Question from a user: > I'm aiming to use BayesianTools for a hydrologic model parameterization. I have the MCMC setup implemented with my model (the SHAW model), and I'd like...
Trying to restart a sampler with parallel likelihood evaluation in a new session fails with `invalid connection` error. I think this is because the cluster object (`cl`) stored with the...
From the feedback that I'm getting, it seems that many people run into problems when going from serial to parallel settings. The problems vary, and are often generic R parallelisation...
Hello, I observed the following error when using the functions summary and gelmanDiagnostics for uni-variate problems: Error in if (plot == T & !is.na(diag$mpsrf)) do.call(gP, as.list(match.call())) : In the following,...
Possibly better to have all plots automatically thin the chain to n=5000 or so? Usually it doesn't improve the plots to have a higher n, and makes everything much slower
pkgdown auf https://florianhartig.github.io/BayesianTools/articles/BayesianTools.html ist nicht aktuell
Test adaptive importance sampling * http://www.lucamartino.altervista.org/Code_LAIS_non_iterative.pdf * https://cran.r-project.org/web/packages/MitISEM/index.html
Hi, I guess there's a little bug linked with burnin and outliers. Please consider the following example: ``` ## Generate a test likelihood function. ll
Looking at https://github.com/florianhartig/BayesianTools/issues/193, I noted that burnin is not considered when labeling the iterations of the chain, for example ``` set.seed(1234) settings = list(iterations = 300, burnin=100) out
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General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics