Statistical Foundations of Data Science

Summary

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.

Product details

• Authors: Jianqing Fan, Jianqing (Princeton University Fan, Fan Jianqing, Runze Li, Li Runze, Cun-Hui Zhang, Zhang Cun-Hui, Hui Zou
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 17.08.2020
• EAN: 9781466510845
• ISBN: 978-1-4665-1084-5
• No. of pages: 774
• Series: Chapman & Hall/CRC Data Science Series
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > General, dictionaries; MATHEMATICS / Probability & Statistics / General, SCIENCE / Life Sciences / Biology, Biology, life sciences, Probability & statistics, Probability and statistics