Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data

This book presents post-estimation and predictions strategies for the host of useful statistical models with applications in data science. Combining statistical learning and machine learning techniques in a unique and optimal way, it will help professionals in their teaching and advanced research. Read More

This book presents post-estimation and predictions strategies for the host of useful statistical models with applications in data science. Combining statistical learning and machine learning techniques in a unique and optimal way, it will help professionals in their teaching and advanced research. Read Less

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  	This is a digital edition of this title. Rent eBook (2 Options) 180 Day Rental: $36.85 (Expires Jan 01, 2025) 365 Day Rental: $43.55 (Expires Jul 05, 2025) Buy eBook Lifetime Access: $66.99 Title: Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data by Syed Ejaz Ahmed; Feryaal Ahmed; Bahadir Yüzbaåä± Publisher: Taylor & Francis Print ISBN: 9780367763442, 0367763443 eText ISBN: 9781000876680 Edition: 2023 1st edition Format: EPUB eBook	$36.85 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ