Articoli correlati a Model Choice and Model Aggregation
- EditoreTechnip Editions
- Data di pubblicazione2017
- ISBN 10 2710811774
- ISBN 13 9782710811770
- RilegaturaCopertina flessibile
- Numero di pagine355
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model choice and model aggregation
Da: Chapitre.com : livres et presse ancienne, LAMNAY, Francia
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Paperback. Condizione: NEUF. For over fourty years, choosing a statistical model thanks to data consisted in optimizing a criterion based on penalized likelihood (H. Akaike, 1973) or penalized least squares (C. Mallows, 1973). These methods are valid for predictive model choice (regression, classification) and for descriptive models (clustering, mixtures). Most of their properties are asymptotic, but a non asymptotic theory has emerged at the end of the last century (Birgé-Massart, 1997). Instead of choosing the best model among several candidates, model aggregation combines different models, often linearly, allowing better predictions. Bayesian statistics provide a useful framework for model choice and model aggregation with Bayesian Model Averaging.In a purely predictive context and with very few assumptions, ensemble methods or meta-algorithms, such as boosting and random forests, have proven their efficiency.This volume originates from the collaboration of high-level specialists: Christophe Biernacki (Université de Lille I), Jean-Michel Marin (Université de Montpellier), Pascal Massart (Université de Paris-Sud), Cathy Maugis-Rabusseau (INSA de Toulouse), Mathilde Mougeot (Université Paris Diderot), and Nicolas Vayatis (École Normale Supérieure de Cachan) who were all speakers at the 16th biennal workshop on advanced statistics organized by the French Statistical Society. In this book, the reader will find a synthesis of the methodologies' foundations and of recent work and applications in various fields.The French Statistical Society (SFdS) is a non-profit organization that promotes the development of statistics, as well as a professional body for all kinds of statisticians working in public and private sectors. Founded in 1997, SFdS is the heir of the Société de Statistique de Paris, established in 1860. SFdS is a corporate member of the International Statistical Institute and a founding member of FENStatS-the Federation of European National Statistical Societies. - Nombre de page(s) : 372 - Poids : 609g - Genre : Sciences / Médecine en langue anglaise STATISTIQUES. Codice articolo N9782710811770
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Model Choice and Model Aggregation (Societe Francaise De Statistique)
Da: GF Books, Inc., Hawthorne, CA, U.S.A.
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Condizione: New. Book is in NEW condition. 1.37. Codice articolo 2710811774-2-1
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Model Choice and Model Aggregation (Societe Francaise De Statistique)
Da: GF Books, Inc., Hawthorne, CA, U.S.A.
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Condizione: Very Good. Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.37. Codice articolo 2710811774-2-3
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Model Choice and Model Aggregation (Societe Francaise De Statistique)
Da: Book Deals, Tucson, AZ, U.S.A.
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Condizione: Fine. Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages. 1.37. Codice articolo 353-2710811774-lkn
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Model Choice and Model Aggregation (Societe Francaise De Statistique)
Da: Book Deals, Tucson, AZ, U.S.A.
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Condizione: New. New! This book is in the same immaculate condition as when it was published 1.37. Codice articolo 353-2710811774-new
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Model Choice and Model Aggregation (Societe Francaise De Statistique)
Da: Book Deals, Tucson, AZ, U.S.A.
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Condizione: Very Good. Very Good condition. Shows only minor signs of wear, and very minimal markings inside (if any). 1.37. Codice articolo 353-2710811774-vrg
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Model Choice and Model Aggregation (Societe Francaise De Statistique)
Da: Books Unplugged, Amherst, NY, U.S.A.
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Condizione: Good. Buy with confidence! Book is in good condition with minor wear to the pages, binding, and minor marks within 1.37. Codice articolo bk2710811774xvz189zvxgdd
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