All of Regression

This comprehensive modern look at regression covers a wide range of topics and relevant contemporary applications, going well beyond the topics covered in most introductory books. With concision and clarity, the authors present linear regression, nonparametric regression, classification, logistic and Poisson regression, high-dimensional regression, quantile regression, conformal prediction and causal inference. There are also brief introductions to neural nets, deep learning, random effects, survival analysis, graphical models and time series. Suitable for advanced undergraduate and beginning graduate students, the book will also serve as a useful reference for researchers and practitioners in data science, machine learning, and artificial intelligence who want to understand modern methods for data analysis.

Author: Isabella Verdinelli,Larry Wasserman
Binding Type: Hardcover
Publisher: Cambridge University Press
Published: 06/04/2026
Pages: 220
Weight: 1.22lbs
Size: 9.61h x 6.69w x 0.56d
ISBN: 9781009702812