Introduction to High-Dimensional Statistics download free [PDF and Ebook] by Christophe Giraud

Introduction to High-Dimensional Statistics download free [PDF and Ebook] by Christophe Giraud year 2015
  • Book name: Introduction to High-Dimensional Statistics
  • Author: Christophe Giraud
  • Release date: 2015/7/25
  • Publisher: APPLE ACADEMIC PRESS INC.
  • Language: English
  • Genre or Collection: Computing
  • ISBN: 9781482237948
  • Rating: 9.54 of 10
  • Votes: 475
  • Review by: Angelica Eldridge
  • Review rating: 7.84 of 10
  • Review Date: 2018/11/27
  • Total pages: 270
  • Includes a PDF summary of 28 pages
  • Description or summary of the book: 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 dataCovers cutting-edge statistical methods including model selection, sparsity and the lasso, aggregation, and learning theoryProvides detailed exercises at the end of every chapter with collaborative solutions on a wikisiteIllustrates concepts with simple but clear practical examplesIntroduction 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.
  • Estimated reading time (average reader): 16H16M29S
  • Other categories, genre or collection: Economic Statistics, Computer Science, Probability & Statistics
  • Available formats: OEB, WORD, TCR, PDF, PPT, DOC, EPUB, TXT. Compressed in TBZ, BZ, ZIP, RZ, RAR, TAR.7Z, DMG
  • Download servers: FileServe, FileTransfer.io, Torlock, Uploaded, 4Shared, Microsoft OneDrive
  • Format: Hardback
  • Approximate value: 79.95 USD
  • Dimensions: 156x235x20.32mm
  • Weight: 635g
  • Printed by: Not Available
  • Published in: Oakville, Canada
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