High-Dimensional Statistics

Language: English

Published by Cambridge University Press, GB, 2019

1108498027 / 9781108498029

Series: Book 52 of 64 - Cambridge Series in Statistical and Probabilistic Mathematics

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Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters that are focused on core methodology and theory - including tail bounds, concentration inequalities, uniform laws and empirical process, and random matrices - as well as chapters devoted to in-depth exploration of particular model classes - including sparse linear models, matrix models with rank constraints, graphical models, and various types of non-parametric models. With hundreds of worked examples and exercises, this text is intended both for courses and for self-study by graduate students and researchers in statistics, machine learning, and related fields who must understand, apply, and adapt modern statistical methods suited to large-scale data.…

Seller Inventory # LU-9781108498029

Title
High-Dimensional Statistics
Author
Martin J. Wainwright
Publisher
Cambridge University Press, GB
Publication year
2019
Condition
New
Binding
Hardback
Language
English
ISBN 10
1108498027
ISBN 13
9781108498029
Item weight
1,200 grams
Series
Book 52 of 64: Cambridge Series in Statistical and Probabilistic Mathematics

Rarewaves USA

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