The following articles are merged in Scholar. What's new in the 2nd edition? Robert Tibshirani. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. Journal of biomechanics 81, 1-11, 2018. Their combined citations are counted only for the first article. ... H Zou, T Hastie, R Tibshirani. Professor of Biomedical Data Sciences, and of Statistics, Stanford University - Cited by 359,626 - Statistics - Applied Statistics - Statistical learning - machine learning - data science PDF Restore Delete Forever. Upload PDF. The following articles are merged in Scholar. ... Trevor Hastie Professor of Statistics, ... A Rajagopal, M Fiterau, JL Hicks, TJ Hastie, SL Delp. Jerome Friedman . Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. ... Trevor Hastie Professor of Statistics, ... J Elith, MP Francis, T Hastie, P Taylor. Their combined citations are counted only for the first article. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. The ones marked * may be different from the article in the profile. Marine Ecology Progress Series 321, 267-281, 2006. Journal of computational and graphical statistics 15 (2), 265-286, 2006. Add co-authors Co-authors. This "Cited by" count includes citations to the following articles in Scholar. Download the book PDF (corrected 12th printing Jan 2017) "... a beautiful book". Trevor Hastie. Assistant Professor, Statistics, UBC - Cited by 494 - Machine Learning - Statistics - Optimization - Mathematics Professor of Statistics, Stanford University - Cited by 250,483 - Statistical learning and modeling - data mining - machine learning 513: 2006: The influence of spatial errors in species occurrence data used in distribution models. Statistical Learning and Datamining I have a long standing interest in flexible and nonparametric techniques for function estimation and prediction.