An edition of Statistics for High-Dimensional Data (2011)

Statistics for High-Dimensional Data

Methods, Theory and Applications

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Cover of: Statistics for High-Dimensional Data by Peter Bühlmann
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Last edited by MARC Bot
August 22, 2024 | History
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An edition of Statistics for High-Dimensional Data (2011)

Statistics for High-Dimensional Data

Methods, Theory and Applications

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  • 0 Ratings
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  • 0 Currently reading
  • 0 Have read

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections. A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods’ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.

Publish Date
Publisher
Springer-Verlag Berlin Heidelberg
Language
English
Pages
556

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Previews available in: English

Subjects
Mathematical statistics, Statistics, Computer science, Least absolute deviations (Statistics), Linear models (Statistics), Smoothness of functions, Nonconvex programming

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Edition Availability
Cover of: Statistics for High-Dimensional Data
Statistics for High-Dimensional Data: Methods, Theory and Applications
Aug 03, 2013, Springer
paperback
Libraries near you: WorldCat
Cover of: Statistics for High-Dimensional Data
Statistics for High-Dimensional Data: Methods, Theory and Applications
2011, Springer-Verlag Berlin Heidelberg
electronic resource : in English
  • Not in Library
Libraries near you: WorldCat

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Book Details

Edition Notes

Published in
Berlin, Heidelberg
Series
Springer Series in Statistics

Classifications

Library of Congress
QA276 .B84 2011, QA276-280QA276-280, QA276-280

The Physical Object

Format
[electronic resource] :
Number of pages
556

ID Numbers

Open Library
OL25552079M
Internet Archive
statisticsforhig00bhlm
ISBN 13
9783642201912, 9783642201929
LCCN
2011930793
OCLC/WorldCat
729346867

Source records

Internet Archive item record
Library of Congress MARC record
Better World Books record
Better World Books record
harvard_bibliographic_metadata record

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
August 22, 2024 Edited by MARC Bot import existing book
February 26, 2022 Edited by ImportBot import existing book
September 11, 2021 Edited by ImportBot import existing book
October 17, 2020 Edited by MARC Bot import existing book
July 29, 2014 Created by ImportBot Imported from Internet Archive item record