Combinatorial Methods in Density Estimation

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Gabor Lugosi is Professor at Universitat Pompeu Fabra in Barcelona, and Luc Debroye is Professor at McGill University in Montreal. In 1996, the authors, together with Lászlo Györfi, published the successful text, A Probabilistic Theory of Pattern Recognition with Springer-Verlag. Both authors have made many contributions in the area of nonparametric estimation.

出版者:Springer
作者:Luc Devroye
出品人:
页数:220
译者:
出版时间:2001-01-12
价格:USD 79.95
装帧:Hardcover
isbn号码:9780387951171
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图书标签:
  • 非参数统计 
  • 统计 
  • 数学 
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Density estimation has evolved enormously since the days of bar plots and histograms, but researchers and users are still struggling with the problem of the selection of the bin widths. This book is the first to explore a new paradigm for the data-based or automatic selection of the free parameters of density estimates in general so that the expected error is within a given constant multiple of the best possible error. The paradigm can be used in nearly all density estimates and for most model selection problems, both parametric and nonparametric.

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