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Cambridge University Press Cambridge High-Dimensional Statistics - Graduate Math Textbook

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£64.58 £61.34 £62.04 £62.75 £63.46 £64.17 £64.88 25 July 2026 16 August 2026 07 September 2026 29 September 2026 21 October 2026
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Description

Master the challenges of massive data sets with High-Dimensional Statistics: A Non-Asymptotic Viewpoint. Published by Cambridge University Press as part of the Cambridge Series in Statistical and Probabilistic Mathematics, this book provides a self-contained introduction designed for first-year graduate students. As data volume and variety increase across scientific and industrial fields, researchers in statistics and machine learning require robust theoretical foundations. This text covers core methodology and theory, including tail bounds, concentration inequalities, uniform laws, empirical process, and random matrices. It is an essential resource for those studying the mathematical frameworks necessary to navigate modern, high-dimensional data environments.

Key Features

Provides a self-contained introduction to high-dimensional statistics tailored for first-year graduate level students.

Published by Cambridge University Press as part of the Cambridge Series in Statistical and Probabilistic Mathematics.

Covers core theoretical methodologies including tail bounds and concentration inequalities.

Includes in-depth study of uniform laws, empirical process, and random matrices.

Addresses modern challenges in statistics and machine learning caused by massive data sets in scientific and industrial settings.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 February 2019
Listed Since
22 June 2018

Barcode

No barcode data available

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