عنوان

High-dimensional statistics :

شابک

1108627773

شابک

9781108627771

شابک اشتباه

1108498027

شابک اشتباه

9781108498029

عنوان اصلي

High-dimensional statistics :

نام عام مواد

[Book]

ساير اطلاعات عنواني

a non-asymptotic viewpoint /

نام نخستين پديدآور

Martin J. Wainwright, University of California, Berkeley.

محل نشرو پخش و غیره

New York, NY, USA :

نام ناشر، پخش کننده و غيره

Cambridge University Press,

تاریخ نشرو بخش و غیره

2019.

تاریخ نشرو بخش و غیره

©2019

نام خاص و کميت اثر

1 online resource (xvii, 552 pages) :

ساير جزييات

illustrations

عنوان فروست

Cambridge series in statistical and probabilistic mathematics ;

مشخصه جلد

48

متن يادداشت

Includes bibliographical references and indexes.

متن يادداشت

Introduction -- Basic tail and concentration bounds -- Concentration of measure -- Uniform laws of large numbers -- Metric entropy and its uses -- Random matrices and covariance estimation -- Sparse linear models in high dimensions -- Principal component analysis in high dimensions -- Decomposability and restricted strong convexity -- Matrix estimation with rank constraints -- Graphical models for high-dimensional data -- Reproducing kernel Hilbert spaces -- Nonparametric least squares -- Localization and uniform laws -- Minimax lower bounds.

بدون عنوان

0

متن يادداشت

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.

عنوان

High-dimensional statistics.

شماره استاندارد بين المللي کتاب و موسيقي

9781108498029

موضوع مستند نشده

Big data.

موضوع مستند نشده

Mathematical statistics, Textbooks.

موضوع مستند نشده

Big data.

موضوع مستند نشده

Mathematical statistics.

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Wainwright, Martin, (Martin J.)

تاريخ عمليات

20200822151227.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y