GitHub - paciorek/jsm2017-bayesComp: Materials for JSM 2017 workshop on Applied Bayesian Computational Methods

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.

Name		Name	Last commit message	Last commit date
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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