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Introduction to high-dimensional statistics /

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자료유형E-Book
개인저자Giraud, Christophe, author.
서명/저자사항Introduction to high-dimensional statistics /Christophe Giraud.
형태사항1 online resource.
총서사항Monographs on statistics & applied probability ;139
소장본 주기eBooks on EBSCOhostAll EBSCO eBooks
ISBN9781482237955
1482237954
1322629536
9781322629537


서지주기Includes bibliographical references and index.
내용주기Chapter 1: Introduction -- Chapter 2: Model Selection -- Chapter 3: Aggregation of Estimators -- Chapter 4: Convex Criteria -- Chapter 5: Estimator Selection -- Chapter 6: Multivariate Regression -- Chapter 7: Graphical Models -- Chapter 8: Multiple Testing -- Chapter 9: Supervised Classification.
요약Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for statisticians and data analysts and has required the development of new statistical methods capable of separating the signal from the noise. Introduction to High-Dimensional Statistics is a concise guide to state-of-the-art models, techniques, and approaches for handling high-dimensional data. The book is intended to expose the reader to the key concepts and ideas in the most simple settings possible while avoiding unnecessary technicalities. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this highly accessible text: Describes the challenges related to the analysis of high-dimensional data Covers cutting-edge statistical methods including model selection, sparsity and the lasso, aggregation, and learning theory Provides detailed exercises at the end of every chapter with collaborative solutions on a wikisite Illustrates concepts with simple but clear practical examples Introduction to High-Dimensional Statistics is suitable for graduate students and researchers interested in discovering modern statistics for massive data. It can be used as a graduate text or for self-study.
일반주제명Dimensional analysis.
Multivariate analysis.
Big data.
Statistics.
MATHEMATICS -- Applied.
MATHEMATICS -- Probability & Statistics -- General.
Big data.
Dimensional analysis.
Multivariate analysis.
Statistics.
Boosting
Datenanalyse
Hochdimensionale Daten
Inferenzstatistik
Lasso-Methode
Mathematische Modellierung
Statistik
언어영어
기타형태 저록Print version:9781482237948
Print version:Giraud, Christophe.Introduction to high-dimensional statistics.Boca Raton : CRC Press, Taylor & Francis Group, [2015]9781482237948
대출바로가기http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=939992

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