Statistical Foundations of Data Science

1st Edition

Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou

Chapman and Hall/CRC
July 22, 2020 Forthcoming
Textbook - 778 Pages - 100 B/W Illustrations
ISBN 9781466510845 - CAT# K14803
Series: Chapman & Hall/CRC Data Science Series

For Instructors Request Inspection Copy

was $129.95

USD$103.96

SAVE ~$25.99

Available for pre-order. Item will ship after July 22, 2020
Add to Wish List
FREE Standard Shipping!

Summary

Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications.

The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Instructors

We provide complimentary e-inspection copies of primary textbooks to instructors considering our books for course adoption.

Request an
e-inspection copy

Share this Title