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Handbook of Bayesian Variable Selection (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: Books From California, Simi Valley, CA, U.S.A.
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Handbook of Bayesian Variable Selection
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Handbook of Bayesian Variable Selection
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Handbook of Bayesian Variable Selection
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Handbook of Bayesian Variable Selection (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
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Handbook of Bayesian Variable Selection (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: California Books, Miami, FL, U.S.A.
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Handbook of Bayesian Variable Selection (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
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Handbook of Bayesian Variable Selection
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Handbook of Bayesian Variable Selection (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
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Handbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Handbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: THE SAINT BOOKSTORE, Southport, Regno Unito
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Handbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsEUR 73,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Handbook of Bayesian Variable Selection | Mahlet G. Tadesse (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Chapman and Hall/CRC | EAN 9780367543785 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Handbook of Bayesian Variable Selection (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLingua: Inglese
Editore: Chapman and Hall/CRC 2021-12-20, 2021
ISBN 10: 0367543761 ISBN 13: 9780367543761
Da: Chiron Media, Wallingford, Regno Unito
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Handbook of Bayesian Variable Selection
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Handbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: GreatBookPrices, Columbia, MD, U.S.A.
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Handbook of Bayesian Variable Selection (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: Lucky's Textbooks, Dallas, TX, U.S.A.
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Handbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: Books Puddle, New York, NY, U.S.A.
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Handbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Handbook of Bayesian Variable Selection (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: California Books, Miami, FL, U.S.A.
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Handbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Edizione InternazionaleHandbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: UK BOOKS STORE, London, LONDO, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Handbook of Bayesian Variable Selection
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Aggiungi al carrelloHardcover. Condizione: Brand New. 466 pages. 10.00x7.00x1.25 inches. In Stock.
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Handbook of Bayesian Variable Selection
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Handbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: PBShop.store US, Wood Dale, IL, U.S.A.
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Handbook of Bayesian Variable Selection (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: Biblios, Frankfurt am main, HESSE, Germania
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Handbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLingua: Inglese
Editore: Chapman And Hall/CRC Jan 2024, 2024
ISBN 10: 0367543788 ISBN 13: 9780367543785
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the mechanisms underlying an observed phenomenon. Variable selection is especially important when the number of potential predictors is substantially larger than the sample size and sparsity can reasonably be assumed.The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for variable selection. The topics covered include spike-and-slab priors, continuous shrinkage priors, Bayes factors, Bayesian model averaging, partitioning methods, as well as variable selection in decision trees and edge selection in graphical models. The handbook targets graduate students and established researchers who seek to understand the latest developments in the field. It also provides a valuable reference for all interested in applying existing methods and/or pursuing methodological extensions.Features:Provides a comprehensive review of methods and applications of Bayesian variable selection.Divided into four parts: Spike-and-Slab Priors; Continuous Shrinkage Priors; Extensions to various Modeling; Other Approaches to Bayesian Variable Selection.Covers theoretical and methodological aspects, as well as worked out examples with R code provided in the online supplement. Includes contributions by experts in the field.Supported by a website with code, data, and other supplementary material 492 pp. Englisch.
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Handbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsEUR 69,92
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mahlet Tadesse is Professor and Chair in the Department of Mathematics and Statistics at Georgetown University, USA. Her research over the past two decades has focused on Bayesian modeling for high-dimensional data with an emphasis on va.
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Handbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsEUR 85,26
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the mechanisms underlying an observed phenomenon. Variable selection is especially important when the number of potential predictors is substantially larger than the sample size and sparsity can reasonably be assumed.The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for variable selection. The topics covered include spike-and-slab priors, continuous shrinkage priors, Bayes factors, Bayesian model averaging, partitioning methods, as well as variable selection in decision trees and edge selection in graphical models. The handbook targets graduate students and established researchers who seek to understand the latest developments in the field. It also provides a valuable reference for all interested in applying existing methods and/or pursuing methodological extensions.Features:Provides a comprehensive review of methods and applications of Bayesian variable selection.Divided into four parts: Spike-and-Slab Priors; Continuous Shrinkage Priors; Extensions to various Modeling; Other Approaches to Bayesian Variable Selection.Covers theoretical and methodological aspects, as well as worked out examples with R code provided in the online supplement. Includes contributions by experts in the field.Supported by a website with code, data, and other supplementary material.
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Handbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsDa: Majestic Books, Hounslow, Regno Unito
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Handbook of Bayesian Variable Selection
Libro 27 di 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLingua: Inglese
Editore: Chapman And Hall/CRC Dez 2021, 2021
ISBN 10: 0367543761 ISBN 13: 9780367543761
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the mechanisms underlying an observed phenomenon. Variable selection is especially important when the number of potential predictors is substantially larger than the sample size and sparsity can reasonably be assumed.The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for variable selection. The topics covered include spike-and-slab priors, continuous shrinkage priors, Bayes factors, Bayesian model averaging, partitioning methods, as well as variable selection in decision trees and edge selection in graphical models. The handbook targets graduate students and established researchers who seek to understand the latest developments in the field. It also provides a valuable reference for all interested in applying existing methods and/or pursuing methodological extensions.Features:Provides a comprehensive review of methods and applications of Bayesian variable selection.Divided into four parts: Spike-and-Slab Priors; Continuous Shrinkage Priors; Extensions to various Modeling; Other Approaches to Bayesian Variable Selection.Covers theoretical and methodological aspects, as well as worked out examples with R code provided in the online supplement. Includes contributions by experts in the field.Supported by a website with code, data, and other supplementary material 492 pp. Englisch.
