Da: HPB-Red, Dallas, TX, U.S.A.
EUR 54,62
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Aggiungi al carrellohardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: Textbooks_Source, Columbia, MO, U.S.A.
EUR 57,67
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Aggiungi al carrellohardcover. Condizione: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Editore: Taylor & Francis Group, 2021
ISBN 10: 0367716224 ISBN 13: 9780367716226
Lingua: Inglese
Da: TextbookRush, Grandview Heights, OH, U.S.A.
EUR 75,90
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EUR 91,31
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Da: Books Puddle, New York, NY, U.S.A.
EUR 90,13
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Editore: Chapman and Hall/CRC 2021-07-15, 2021
ISBN 10: 0367716224 ISBN 13: 9780367716226
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 77,81
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 98,66
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Da: Majestic Books, Hounslow, Regno Unito
EUR 91,76
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 73,02
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 103,26
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EUR 104,61
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 93,95
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Editore: T&F Crc Press, 2021
Lingua: Inglese
Da: Books in my Basket, New Delhi, India
EUR 90,41
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Aggiungi al carrelloHardcover. Condizione: New. ISBN:9780367716226.
EUR 102,62
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EUR 97,64
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Da: California Books, Miami, FL, U.S.A.
EUR 116,58
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Editore: Taylor & Francis Ltd, London, 2021
ISBN 10: 0367716224 ISBN 13: 9780367716226
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 118,78
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Praise for the first edition:"[This book] succeeds singularly at providing a structured introduction to this active field of research. it is arguably the most accessible overview yet published of the mathematical ideas and principles that one needs to master to enter the field of high-dimensional statistics. recommended to anyone interested in the main results of current research in high-dimensional statistics as well as anyone interested in acquiring the core mathematical skills to enter this area of research."Journal of the American Statistical AssociationIntroduction to High-Dimensional Statistics, Second Edition preserves the philosophy of the first edition: to be a concise guide for students and researchers discovering the area and interested in the mathematics involved. The main concepts and ideas are presented in simple settings, avoiding thereby unessential technicalities. High-dimensional statistics is a fast-evolving field, and much progress has been made on a large variety of topics, providing new insights and methods. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this new edition: Offers revised chapters from the previous edition, with the inclusion of many additional materials on some important topics, including compress sensing, estimation with convex constraints, the slope estimator, simultaneously low-rank and row-sparse linear regression, or aggregation of a continuous set of estimators. Introduces three new chapters on iterative algorithms, clustering, and minimax lower bounds. Provides enhanced appendices, minimax lower-bounds mainly with the addition of the Davis-Kahan perturbation bound and of two simple versions of the Hanson-Wright concentration inequality. Covers cutting-edge statistical methods including model selection, sparsity and the Lasso, iterative hard thresholding, aggregation, support vector machines, and learning theory. Provides detailed exercises at the end of every chapter with collaborative solutions on a wiki site. Illustrates concepts with simple but clear practical examples. This book preserves the philosophy of the first edition: to be a concise guide for students and researchers discovering the area and interested in the mathematics involved. The main concepts and ideas are presented in simple settings, avoiding thereby unessential technicalities. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 111,09
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 113,51
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 130,78
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Aggiungi al carrelloCondizione: New. 2021. 2nd Edition. Hardcover. . . . . .
EUR 93,92
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Aggiungi al carrelloGebunden. Condizione: New.
EUR 162,44
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Aggiungi al carrelloCondizione: New. 2021. 2nd Edition. Hardcover. . . . . . Books ship from the US and Ireland.
EUR 154,66
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd new edition. 368 pages. 9.21x6.14x0.98 inches. In Stock.
Editore: Taylor & Francis Ltd, London, 2021
ISBN 10: 0367716224 ISBN 13: 9780367716226
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 193,77
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Praise for the first edition:"[This book] succeeds singularly at providing a structured introduction to this active field of research. it is arguably the most accessible overview yet published of the mathematical ideas and principles that one needs to master to enter the field of high-dimensional statistics. recommended to anyone interested in the main results of current research in high-dimensional statistics as well as anyone interested in acquiring the core mathematical skills to enter this area of research."Journal of the American Statistical AssociationIntroduction to High-Dimensional Statistics, Second Edition preserves the philosophy of the first edition: to be a concise guide for students and researchers discovering the area and interested in the mathematics involved. The main concepts and ideas are presented in simple settings, avoiding thereby unessential technicalities. High-dimensional statistics is a fast-evolving field, and much progress has been made on a large variety of topics, providing new insights and methods. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this new edition: Offers revised chapters from the previous edition, with the inclusion of many additional materials on some important topics, including compress sensing, estimation with convex constraints, the slope estimator, simultaneously low-rank and row-sparse linear regression, or aggregation of a continuous set of estimators. Introduces three new chapters on iterative algorithms, clustering, and minimax lower bounds. Provides enhanced appendices, minimax lower-bounds mainly with the addition of the Davis-Kahan perturbation bound and of two simple versions of the Hanson-Wright concentration inequality. Covers cutting-edge statistical methods including model selection, sparsity and the Lasso, iterative hard thresholding, aggregation, support vector machines, and learning theory. Provides detailed exercises at the end of every chapter with collaborative solutions on a wiki site. Illustrates concepts with simple but clear practical examples. This book preserves the philosophy of the first edition: to be a concise guide for students and researchers discovering the area and interested in the mathematics involved. The main concepts and ideas are presented in simple settings, avoiding thereby unessential technicalities. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 106,54
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 127,42
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 118,97
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 140,67
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book preserves the philosophy of the first edition: to be a concise guide for students and researchers discovering the area and interested in the mathematics involved. The main concepts and ideas are presented in simple settings, avoiding thereby unessential technicalities.