Computationally Intensive Methods
An important trend in statistical inference over the last twenty years has been the introduction of computationally intensive methods. These have been made possible by the availability of convenient and greatly increased computing power, and these methods are useful in bioinformatics and computational biology. Aspects of some computationally intensive methods used for both estimation and hypothesis testing are outlined in this chapter. Computationally intensive methods arise in both classical and Bayesian inference: We concentrate here on computationally intensive methods in classical inference.
KeywordsNull Hypothesis Bootstrap Sample Bootstrap Procedure Bootstrap Estimate Permutation Procedure
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