Maximum likelihood estimation of a multidimensional log-concave density
Let X_1, ..., X_n be independent and identically distributed random vectors with a log-concave (Lebesgue) density f. We first prove that, with probability one, there exists a unique maximum likelihood estimator of f. The use of this estimator is attractive because, unlike kernel density estimation,...
Main Authors: | Cule, M, Samworth, R, Stewart, M |
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格式: | Journal article |
语言: | English |
出版: |
Blackwell Publishing Ltd
2008
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