Upload PDF. Journal of biomechanics 81, 1-11, 2018. Journal of computational and graphical statistics 15 (2), 265-286, 2006. Professor of Biomedical Data Sciences, and of Statistics, Stanford University - Cited by 359,626 - Statistics - Applied Statistics - Statistical learning - machine learning - data science Add co-authors Co-authors. Jerome Friedman . 513: 2006: The influence of spatial errors in species occurrence data used in distribution models. PDF Restore Delete Forever. 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. ... Trevor Hastie Professor of Statistics, ... A Rajagopal, M Fiterau, JL Hicks, TJ Hastie, SL Delp. Robert Tibshirani. The ones marked * may be different from the article in the profile. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. Download the book PDF (corrected 12th printing Jan 2017) "... a beautiful book". Their combined citations are counted only for the first article. Marine Ecology Progress Series 321, 267-281, 2006. Statistical Learning and Datamining I have a long standing interest in flexible and nonparametric techniques for function estimation and prediction. Trevor Hastie. ... H Zou, T Hastie, R Tibshirani. The following articles are merged in Scholar. 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. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Their combined citations are counted only for the first article. 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