Description: High-Dimensional Statistics: A Non-Asymptotic Viewpoint: 48 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)Martin J. Wainwright Cambridge University Press Hardcover Unused and unread, minor cosmetic imperfections such as scuffing or minor creasing. Stamped 'damaged' by publisher to a non-text page. EAN: 9781108498029 Published: 21/02/2019 Language: English 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. 1. Introduction 2. Basic tail and concentration bounds 3. Concentration of measure 4. Uniform laws of large numbers 5. Metric entropy and its uses 6. Random matrices and covariance estimation 7. Sparse linear models in high dimensions 8. Principal component analysis in high dimensions 9. Decomposability and restricted strong convexity 10. Matrix estimation with rank constraints 11. Graphical models for high-dimensional data 12. Reproducing kernel Hilbert spaces 13. Nonparametric least squares 14. Localization and uniform laws 15. Minimax lower bounds References Author index Subject index. DispatchIn stock here - same-day dispatch from England. My SKU: 3260527RefundsNo-hassle refunds are always available if your book is not as expected.Terms and Conditions of SaleSorry - no collections. All sales are subject to extended Terms and Conditions of Sale as well as the Return Policy and Payment Instructions. Visit my eBay Store for details andmany more books. Template layout and design, "JNC Academic Books", "needbooks", Copyright © JNC INC. Designated trademarks, layouts and brands are the property of their respective owners. All Rights Reserved.
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Subject Area: Data Analysis
Item Height: 260mm
Item Width: 183mm
Author: Martin J. Wainwright
Publication Name: High-Dimensional Statistics: a Non-Asymptotic Viewpoint
Format: Hardcover
Language: English
Publisher: Cambridge University Press
Subject: Economics, Computer Science, Biology, Mathematics
Publication Year: 2019
Type: Textbook
Item Weight: 1200g
Number of Pages: 568 Pages
