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Introduction to high-dimensional statistics
- 자료유형
- 전자책
- n898156656
- ISBN
- 9781482237955 (electronic bk.)
- ISBN
- 1482237954 (electronic bk.)
- ISBN
- 1322629536
- ISBN
- 9781322629537
- ISBN
- 9781482237948
- ISBN
- 1482237946
- 소장사항
-
MAIN
- 미국회청구기호
- QC20.7.D55-G57 2015eb
- DDC
- 519.5-23
- 청구기호
- 410 G522i
- 서명/저자
- Introduction to high-dimensional statistics / Christophe Giraud
- 형태사항
- 1 online resource.
- 총서명
- Monographs on statistics & applied probability ; 139
- 서지주기
- Includes bibliographical references and index.
- 내용주기
- 완전내용Chapter 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.
- 초록/해제
- 요약 :Ever-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.
- 일반주제명
- Dimensional analysis
- 일반주제명
- Multivariate analysis
- 일반주제명
- Big data
- 일반주제명
- Statistics
- 일반주제명
- MATHEMATICS Applied.
- 일반주제명
- Big data.
- 일반주제명
- Dimensional analysis.
- 일반주제명
- Multivariate analysis.
- 일반주제명
- Statistics.
- 일반주제명
- Boosting
- 일반주제명
- Datenanalyse
- 일반주제명
- Hochdimensionale Daten
- 일반주제명
- Inferenzstatistik
- 일반주제명
- Lasso-Methode
- 일반주제명
- Statistik
- 기타형태저록
- Print version. 9781482237948
- 기타형태저록
- Print versionGiraud, Christophe. Introduction to high-dimensional statistics. Boca Raton : CRC Press, Taylor & Francis Group, [2015] 9781482237948 (DLC) 2015002096 (OCoLC)883648915
- 통일총서명
- Monographs on statistics and applied probability (Series) ; 139.
- 전자적 위치 및 접속
- 링크정보보기
- Control Number
- yscl:138743
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