同類書籍: Data analysis: general, Economic statistics, Probability & statistics, Biology, life sciences, Machine learning, Signal processing, Pattern recognition

Cambridge Series in Statistical and Probabilistic Mathematic (Hardcover)
 

作者: Martin J Wainwright 
出版社: Cambridge University Press
出版日期: 2019/02/21
尺寸: 260x183x35mm
重量: 1200 grams
ISBN-10: 1108498027
ISBN-13: 9781108498029
書城編號: 1562169
 
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售價: $754.00

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商品簡介
 
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.

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