8
MCMC Sampling Methods
In This Chapter
The preceding chapters have stressed that a project involving Bayesian analysis should compare the methods available for generating posterior distributions by means of sampling techniques. This chapter reviews two basic techniques, grid approximation and quadratic approximation, and discusses how a third technique, Markov Chain Monte Carlo (MCMC), improves upon them.
Quick Review of Bayesian Sampling
Frequentist statistical methods such as t-tests and the analysis of variance make use of sampling assumptions, but not in the same fashion as Bayesian methods. A traditional t-test makes three assumptions about two ...
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