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Verlag: Cambridge University Press 2021-03-25, Cambridge, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: Blackwell's, London, Vereinigtes Königreich
Buch
paperback. Zustand: New. Language: ENG.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: GF Books, Inc., Hawthorne, CA, USA
Buch
Zustand: Good. Book is in Used-Good 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 limited notes and highlighting.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: GF Books, Inc., Hawthorne, CA, USA
Buch
Zustand: New. Book is in NEW condition.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: GF Books, Inc., Hawthorne, CA, USA
Buch
Zustand: 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.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: GF Books, Inc., Hawthorne, CA, USA
Buch
Zustand: Fine. Book is in Used-LikeNew 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.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: Books Unplugged, Amherst, NY, USA
Buch
Zustand: Fair. Buy with confidence! Book is in acceptable condition with wear to the pages, binding, and some marks within.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: Book Deals, Tucson, AZ, USA
Buch
Zustand: 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.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: Book Deals, Tucson, AZ, USA
Buch
Zustand: Very Good. Very Good condition. Shows only minor signs of wear, and very minimal markings inside (if any).
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: Book Deals, Tucson, AZ, USA
Buch
Zustand: New. New! This book is in the same immaculate condition as when it was published.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: Lucky's Textbooks, Dallas, TX, USA
Buch
Zustand: New.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: Prior Books Ltd, Cheltenham, Vereinigtes Königreich
Buch Erstausgabe
Paperback. Zustand: Like New. First Edition. In nearly new condition: firm and square with strong joints, no creases. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: Brook Bookstore, Milano, MI, Italien
Buch
Zustand: new.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: California Books, Miami, FL, USA
Buch
Zustand: New.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Buch
Paperback. Zustand: Brand New. revised edition. 690 pages. 9.75x6.75x1.35 inches. In Stock.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: GreatBookPrices, Columbia, MD, USA
Buch
Zustand: New.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Buch
Paperback. Zustand: Brand New. revised edition. 690 pages. 9.75x6.75x1.35 inches. In Stock.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: GreatBookPrices, Columbia, MD, USA
Buch
Zustand: As New. Unread book in perfect condition.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: Kennys Bookstore, Olney, MD, USA
Buch
Zustand: New. 2021. Revised. Paperback. . . . . . Books ship from the US and Ireland.
Verlag: Cambridge University Press, 2015
ISBN 10: 1107043166ISBN 13: 9781107043169
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
Buch Print-on-Demand
Zustand: new. Questo è un articolo print on demand.
Verlag: Cambridge University Press, 2015
ISBN 10: 1107043166ISBN 13: 9781107043169
Anbieter: Lucky's Textbooks, Dallas, TX, USA
Buch
Zustand: New.
Verlag: Cambridge University Press, 2015
ISBN 10: 1107043166ISBN 13: 9781107043169
Anbieter: Books Unplugged, Amherst, NY, USA
Buch
Zustand: Fair. Buy with confidence! Book is in acceptable condition with wear to the pages, binding, and some marks within.
Verlag: Cambridge University Press, 2021
ISBN 10: 110899413XISBN 13: 9781108994132
Anbieter: moluna, Greven, Deutschland
Buch
Zustand: New. High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising fr.
Verlag: Cambridge Univ Pr, 2016
ISBN 10: 1107043166ISBN 13: 9781107043169
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Buch
Hardcover. Zustand: Brand New. 1st edition. 720 pages. 10.37x7.04x1.71 inches. In Stock.
Verlag: Cambridge University Press, 2015
ISBN 10: 1107043166ISBN 13: 9781107043169
Anbieter: California Books, Miami, FL, USA
Buch
Zustand: New.
Verlag: Cambridge Univ Pr, 2016
ISBN 10: 1107043166ISBN 13: 9781107043169
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Buch
Hardcover. Zustand: Brand New. 1st edition. 720 pages. 10.37x7.04x1.71 inches. In Stock.
Verlag: Cambridge University Press CUP, 2015
ISBN 10: 1107043166ISBN 13: 9781107043169
Anbieter: Books Puddle, New York, NY, USA
Buch
Zustand: New. pp. 720.
Verlag: Cambridge University Press, 2015
ISBN 10: 1107043166ISBN 13: 9781107043169
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Buch
Zustand: New. pp. 720.
Verlag: Cambridge University Press, 2015
ISBN 10: 1107043166ISBN 13: 9781107043169
Anbieter: dsmbooks, Liverpool, Vereinigtes Königreich
Buch
Hardcover. Zustand: Like New. Like New. book.
Verlag: Cambridge University Press, 2017
ISBN 10: 1107043166ISBN 13: 9781107043169
Anbieter: moluna, Greven, Deutschland
Buch Print-on-Demand
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising fr.
Verlag: Cambridge University Press, 2015
ISBN 10: 1107043166ISBN 13: 9781107043169
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a coherent account of the statistical theory in infinite-dimensional parameter spaces. The mathematical foundations include self-contained 'mini-courses' on the theory of Gaussian and empirical processes, on approximation and wavelet theory, and on the basic theory of function spaces. The theory of statistical inference in such models - hypothesis testing, estimation and confidence sets - is then presented within the minimax paradigm of decision theory. This includes the basic theory of convolution kernel and projection estimation, but also Bayesian nonparametrics and nonparametric maximum likelihood estimation. In the final chapter, the theory of adaptive inference in nonparametric models is developed, including Lepski's method, wavelet thresholding, and adaptive inference for self-similar functions.