Statistical Foundations of Data Science

Riassunto

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.

Dettagli sul prodotto

• Autori: Jianqing Fan, Jianqing (Princeton University Fan, Fan Jianqing, Runze Li, Li Runze, Cun-hui Zhang, Zhang Cun-Hui, Hui Zou
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 17.08.2020
• EAN: 9781466510845
• ISBN: 978-1-4665-1084-5
• Pagine: 774
• Serie: Chapman & Hall/CRC Data Science Series
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Tematiche generali, enciclopedie; MATHEMATICS / Probability & Statistics / General, SCIENCE / Life Sciences / Biology, Biology, life sciences, Probability & statistics, Probability and statistics