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Combinatorial Methods Density Estimation by Devroye Luc (27 results)
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Combinatorial Methods in Density Estimation (Springer Series in Statistics)
Book 53 of 160: Springer Series in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Combinatorial Methods in Density Estimation (Hardcover)
Book 53 of 160: Springer Series in StatisticsLanguage: English
Published by Springer-Verlag New York Inc., New York, NY, 2001
ISBN 10: 0387951172 ISBN 13: 9780387951171
Hardcover. Condition: new. Hardcover. 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 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 Laszlo Gyoerfi, 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. This book will be of interest to statistical researchers working in the area of nonparametric density estimation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Combinatorial Methods in Density Estimation (Springer Series in Statistics)
Book 53 of 160: Springer Series in StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 177.01
US$ 16.56 shipping
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Combinatorial Methods in Density Estimation (Paperback)
Book 53 of 160: Springer Series in StatisticsLanguage: English
Published by Springer-Verlag New York Inc., New York, NY, 2012
ISBN 10: 1461265274 ISBN 13: 9781461265276
Paperback. Condition: new. Paperback. 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 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 Laszlo Gyoerfi, 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Combinatorial Methods in Density Estimation
Book 53 of 160: Springer Series in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Combinatorial Methods in Density Estimation
Book 53 of 160: Springer Series in StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. pp. 224.
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Condition: New. pp. 224.
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Combinatorial Methods in Density Estimation (Springer Series in Statistics)
Book 53 of 160: Springer Series in StatisticsUS$ 220.73
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Combinatorial Methods in Density Estimation (Springer Series in Statistics)
Book 53 of 160: Springer Series in StatisticsUS$ 253.35
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Add to basketPaperback. Condition: Brand New. 221 pages. 9.25x6.10x0.51 inches. In Stock.
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Combinatorial Methods in Density Estimation (Hardcover)
Book 53 of 160: Springer Series in StatisticsLanguage: English
Published by Springer-Verlag New York Inc., New York, NY, 2001
ISBN 10: 0387951172 ISBN 13: 9780387951171
Hardcover. Condition: new. Hardcover. 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 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 Laszlo Gyoerfi, 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. This book will be of interest to statistical researchers working in the area of nonparametric density estimation. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
Combinatorial Methods in Density Estimation (Paperback)
Book 53 of 160: Springer Series in StatisticsLanguage: English
Published by Springer-Verlag New York Inc., New York, NY, 2012
ISBN 10: 1461265274 ISBN 13: 9781461265276
Paperback. Condition: new. Paperback. 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 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 Laszlo Gyoerfi, 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
Combinatorial Methods in Density Estimation
Book 53 of 160: Springer Series in StatisticsLanguage: English
Published by Springer-Verlag New York Inc., 2012
ISBN 10: 1461265274 ISBN 13: 9781461265276
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 163.31
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Add to basketCondition: 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 paradigm for the data-based or automatic selec.
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US$ 157.72
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Add to basketCondition: 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 paradigm for the data-based or automatic selec.
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Buch. Condition: Neu. Combinatorial Methods in Density Estimation | Luc Devroye (u. a.) | Buch | xii | Englisch | 2001 | Springer | EAN 9780387951171 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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US$ 226.35
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Add to basketCondition: 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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US$ 226.50
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Add to basketCondition: 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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Condition: New. PRINT ON DEMAND pp. 224.
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Condition: New. PRINT ON DEMAND pp. 224.
