Abstract
The bootstrap is a computer-based resampling method that can provide good approximations to the distribution of a given statistic. We review some common forms of bootstrap-based confidence intervals, with emphasis on some recent work on the estimating function bootstrap and Markov chain marginal bootstrap.
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