The John A. Overdeck Professor
Professor of Biomedical Data Science
Welcome to my home page. I have a joint appointment in the Department
of Statistics at Stanford University, and the Department of Biomedical Data Science in the Stanford School of Medicine.
I have been on the faculty at Stanford since August, 1994. Before that
I was a member of the technical staff at AT&T Bell Laboratories,
Murray Hill, New Jersey, where I worked for 9 years.
In 2018 I was elected to the United States National Academy of Sciences. For more
details, click on the link to my biography.
to Statistical Learning, with applications in R (2nd
Published August 1, 2021. Available in eprint from
Orders can be placed for hardcover, available August 30, 2021.
chapters in additional 179 pages:
- Deep Learning
- Survival Analysis and Survival Data
- Multiple Testing
glmnet 4.0 released May
2020 and on CRAN. Major addition is full GLM family functionality. Any legitimate
GLM family object can be passed as the family argument to glmnet, over and above
the built-in (and more computationally efficient) families which are
specified by character strings.
All the new features of glmnet 3.0 apply, including relaxed lasso and
elastic net, software for model assessment, functions for building
the X matrix that can deal
with NAs and factor inputs, a progress bar for fitting big models, and
Learning MOOC with Rob Tibshirani.
January, 2020. Now hosted by edX in self-paced mode. See link for details of course and certification.
Interview with Jon Gurstelle for Statistics Views, November 2016
glmnet in python ported by BJ Balakumar
Computer Age Statistical Inference with Bradley Efron.
Cambridge University Press, August 2016
Statistical Learning with Sparsity with Martin Wainwright and
Chapman and Hall, May 2015.
© copyright 2003 Trevor Hastie - All rights reserved.