Selecting the number of bins in a histog
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Kun He; Glen Meeden
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Article
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1997
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Elsevier Science
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English
β 575 KB
In this note we consider the problem of, given a sample, selecting the number of bins in a histogram. A loss function is introduced which reflects the idea that smooth distributions should have fewer bins than rough distributions. A stepwise Bayes rule, based on the Bayesian bootstrap, is found and