Statistical Foundations of Data Science (Hardcover)
Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui ZouProvides theoretical insights and justification of the statistical procedures for the analysis of high-dimensional data Presents a general framework of regularization methods Covers feature screening for ultrahigh-dimensional data Describes large-scale covariance estimation
R3,386
Or split into 4x interest-free payments of 25% on orders over R50
Learn more
33860
@R317pm x 12* 
Ships in 9 - 15 working days
Add to wish listReview this Item
Donate to Against Period Poverty
Product Description
Provides theoretical insights and justification of the statistical procedures for the analysis of high-dimensional data Presents a general framework of regularization methods Covers feature screening for ultrahigh-dimensional data Describes large-scale covariance estimation
Customer Reviews
No reviews or ratings yet - be the first to create one!
Product Details
General
Imprint | Crc Press |
Country of origin | United States |
Series | Chapman & Hall/CRC Data Science Series |
Release date | April 2020 |
Availability | Expected to ship within 9 - 15 working days |
First published | 2021 |
Authors | Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou |
Dimensions | 234 x 156 x 45mm (L x W x T) |
Format | Hardcover |
Pages | 752 |
ISBN-13 | 978-1-4665-1084-5 |
Barcode | 9781466510845 |
Categories | |
LSN | 1-4665-1084-6 |
Similar Products | Recommended ProductsSee more 
Trending On Loot
Be the first to know about our
latest deals & promos! Subscribe Now
