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language: english
Publisher: TAYLOR & FRANCIS INC, August of 2020 ‧
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Gives a comprehensive and systematic account of high-dimensional data analysis, including variable selection via regularization methods and sure independent feature screening methods. It is a valuable reference for researchers involved with model selection, variable selection, machine learning, and risk management.

Statistical Foundations Of Data Science

by Hui Zou, Cun-Hui (Rutgers University, Piscataway, Usa) Zhang, Runze (Pennsylvania State University, University Park, Usa) Li e Jianqing (Princeton University, New Jersey, Usa) Fan

Property Description
ISBN: 9781466510845
Publisher: TAYLOR & FRANCIS INC
Release Date: August of 2020
Language: English
Dimensions: 156 x 235 x 20 mm
Cover: Hardcover
Pages: 774
Format: Book
Collection: Chapman & Hall/Crc Data Science Series
Categories: Books in English > Science > Mathematics
Books in English > Others
EAN: 9781466510845