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Materials for JSM 2017 workshop on Applied Bayesian Computational Methods

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code
code
 
 
plots
plots
 
 
1-bayesIntro.Rtex
1-bayesIntro.Rtex
 
 
10-slice.Rtex
10-slice.Rtex
 
 
11-hmc.Rtex
11-hmc.Rtex
 
 
12-variableSeln.Rtex
12-variableSeln.Rtex
 
 
13-revJump.Rtex
13-revJump.Rtex
 
 
14-normConstants.Rtex
14-normConstants.Rtex
 
 
15-impSample.Rtex
15-impSample.Rtex
 
 
16-smc.Rtex
16-smc.Rtex
 
 
17-vb.Rtex
17-vb.Rtex
 
 
18-laplace.Rtex
18-laplace.Rtex
 
 
19-stan.Rtex
19-stan.Rtex
 
 
2-nimbleIntro.Rtex
2-nimbleIntro.Rtex
 
 
3-mcmcIntro.Rtex
3-mcmcIntro.Rtex
 
 
4-metropolis.Rtex
4-metropolis.Rtex
 
 
5-diagnostics.Rtex
5-diagnostics.Rtex
 
 
6-kernelMixture.Rtex
6-kernelMixture.Rtex
 
 
7-mcmcStrategies.Rtex
7-mcmcStrategies.Rtex
 
 
8-auxiliary.Rtex
8-auxiliary.Rtex
 
 
9-adaptive.Rtex
9-adaptive.Rtex
 
 
Makefile
Makefile
 
 
README.md
README.md
 
 
bayesComp.Rtex
bayesComp.Rtex
 
 
bayesComp.pdf
bayesComp.pdf
 
 
bayesiancomputation.bib
bayesiancomputation.bib
 
 
bka.bst
bka.bst
 
 

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Materials for JSM 2017 short course on Applied Bayesian Computational Methods led by Abel Rodriguez (UC Santa Cruz) and Chris Paciorek (UC Berkeley).

Full course notes are in bayesComp.pdf, generated from bayesComp.Rtex (see Makefile to generate). See code for code files for examples using R, NIMBLE, and Stan.

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