Combinatorial Methods Density Estimation by Devroye Luc (26 results)
Language: English
Published by Springer January 2001, 2001
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Published by Springer, 2012
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Published by Springer, 2001
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Published by Springer, 2012
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Taschenbuch. Condition: Neu. Combinatorial Methods in Density Estimation | Luc Devroye (u. a.) | Taschenbuch | xii | Englisch | 2012 | Springer | EAN 9781461265276 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer, 2001
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Published by Springer, 2001
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Published by Springer, Springer, 2001
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 text explores a new paradigm for the data-based or automatic sel…ection 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. It is the first book on this topic. The text is intended for first-year graduate students in statistics and learning theory, and offers a host of opportunities for further research and thesis topics. Each chapter corresponds roughly to one lecture, and is supplemented with many classroom exercises. A one year course in probability theory at the level of Feller's Volume 1 should be more than adequate preparation. 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.
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Published by Springer, 2012
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Published by Springer, 2012
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Published by Springer, 2001
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Published by Springer-Verlag New York Inc., 2012
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Published by Springer New York, 2012
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 text explores a new paradi…gm for the data-based or automatic selec.
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Published by Springer New York, 2001
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 text explores a new paradi…gm for the data-based or automatic selec.
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Published by Springer, 2001
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Condition: New. Print on Demand pp. 224 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Published by Springer, 2012
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Condition: New. Print on Demand pp. 224 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Published by Springer, Springer Jan 2001, 2001
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book will be of interest to statistical researchers working in the area of nonparametric density estimation.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 text explores a new paradigm for the data-bas…ed 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. It is the first book on this topic. The text is intended for first-year graduate students in statistics and learning theory, and offers a host of opportunities for further research and thesis topics. Each chapter corresponds roughly to one lecture, and is supplemented with many classroom exercises. A one year course in probability theory at the level of Feller's Volume 1 should be more than adequate preparation. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.
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Published by Springer, 2001
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Condition: New. PRINT ON DEMAND pp. 224.
Language: English
Published by Springer, 2012
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Condition: New. PRINT ON DEMAND pp. 224.
