£60.00

Cambridge University Press Cambridge High-Dimensional Probability - Data Science Textbook

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£65.00 £53.99 £56.39 £58.79 £61.20 £63.60 £66.00 26 January 2026 05 February 2026 16 February 2026 27 February 2026 10 March 2026

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Description

Master essential probabilistic methods with High-Dimensional Probability, a winner of the 2019 PROSE Award in Mathematics. Published by Cambridge University Press, this second edition provides a streamlined and updated introduction designed specifically for mathematical data scientists. This textbook bridges the gap between theory and practical application by integrating core tools with modern data science use cases. Readers will gain a deep understanding of concentration inequalities, covering classical results such as Hoeffding's and Chernoff's inequalities alongside modern developments like the matrix Bernstein inequality. Beyond inequalities, the text develops advanced methods based on stochastic processes. You will learn about Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and VC-based methods. Whether you are studying econometrics or advanced statistical mathematics, this resource offers an accessible and friendly approach to complex mathematical concepts.

Key Features

Award-winning mathematical content that won the 2019 PROSE Award in Mathematics.

Updated second edition that integrates core theory with modern applications in data science.

Comprehensive coverage of concentration inequalities including Hoeffding's and Chernoff's results.

Advanced instruction on modern tools like the matrix Bernstein inequality.

In-depth exploration of stochastic processes including Slepian's, Sudakov's, and Dudley's inequalities.

Detailed methods covering generic chaining and VC-based approaches for mathematical data scientists.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
19 February 2026
Listed Since
21 August 2025

Barcode

No barcode data available

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