Language: English
Published by Cambridge India, 2018
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Published by CAMBRIDGE INDIA, 2018
ISBN 10: 1009114298 ISBN 13: 9781009114295
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Language: English
Published by Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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hardcover. Condition: 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!
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Language: English
Published by Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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hardcover. Condition: Good. May contain some writing/highlighting. Cover shows wear from normal use. Supplemental materials such as CDs or access codes are not included unless otherwise noted.
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Language: English
Published by Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Language: English
Published by Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Language: English
Published by Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Hardcover. Condition: Sehr gut. 300 pp. Very well preserved copy 326 Sprache: Englisch Gewicht in Gramm: 711.
Language: English
Published by Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Language: English
Published by Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Published by Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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First Edition
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Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Language: English
Published by Cambridge University Press, GB, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. 2nd. 'High-Dimensional Probability,' winner of the 2019 PROSE Award in Mathematics, offers an accessible and friendly introduction to key probabilistic methods for mathematical data scientists. Streamlined and updated, this second edition integrates theory, core tools, and modern applications. Concentration inequalities are central, including classical results like Hoeffding's and Chernoff's inequalities, and modern ones like the matrix Bernstein inequality. The book also develops methods based on stochastic processes - Slepian's, Sudakov's, and Dudley's inequalities, generic chaining, and VC-based bounds. Applications include covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, and machine learning. New to this edition are 200 additional exercises, alongside extra hints to assist with self-study. Material on analysis, probability, and linear algebra has been reworked and expanded to help bridge the gap from a typical undergraduate background to a second course in probability.
Language: English
Published by Cambridge University Press, GB, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: New. High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate theory, key tools, and modern applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on stochastic processes, including such tools as Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and bounds based on VC dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, machine learning, compressed sensing, and sparse regression.
Language: English
Published by Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Condition: New. 2026. 2nd Edition. hardcover. . . . . .
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Language: English
Published by Cambridge University Press, GB, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Add to basketHardback. Condition: New. 2nd. 'High-Dimensional Probability,' winner of the 2019 PROSE Award in Mathematics, offers an accessible and friendly introduction to key probabilistic methods for mathematical data scientists. Streamlined and updated, this second edition integrates theory, core tools, and modern applications. Concentration inequalities are central, including classical results like Hoeffding's and Chernoff's inequalities, and modern ones like the matrix Bernstein inequality. The book also develops methods based on stochastic processes - Slepian's, Sudakov's, and Dudley's inequalities, generic chaining, and VC-based bounds. Applications include covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, and machine learning. New to this edition are 200 additional exercises, alongside extra hints to assist with self-study. Material on analysis, probability, and linear algebra has been reworked and expanded to help bridge the gap from a typical undergraduate background to a second course in probability.
Language: English
Published by Cambridge University Press CUP, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Seller: Books Puddle, New York, NY, U.S.A.
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Language: English
Published by Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2018. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2026. 2nd Edition. hardcover. . . . . . Books ship from the US and Ireland.