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- Bradley Efron.
- Stanford University, Stanford, California 94305, USA. brad@stat.stanford.edu
- J Biopharm Stat. 2011 Nov 1; 21 (6): 1052-62.
AbstractThis note concerns the use of parametric bootstrap sampling to carry out Bayesian inference calculations. This is only possible in a subset of those problems amenable to Markov-Chain Monte Carlo (MCMC) analysis, but when feasible the bootstrap approach offers both computational and theoretical advantages. The discussion here is in terms of a simple example, with no attempt at a general analysis.
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