Trevor Hastie
Trevor John Hastie (born 27 June 1953) is an American statistician and computer scientist. He is currently serving as the John A. Overdeck Professor of Mathematical Sciences and Professor of Statistics at Stanford University. Hastie is known for his contributions to applied statistics, especially in the field of machine learning, data mining, and bioinformatics. He has authored several popular books in statistical learning, including ''The Elements of Statistical Learning: Data Mining, Inference, and Prediction''. Hastie has been listed as an ISI Highly Cited Author in Mathematics by the ISI Web of Knowledge. He also contributed to the development of S.
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The elements of statistical learning : data mining, inference, and prediction : with 200 full-color illustrations
New York : Springer, 2001Format: Book
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The elements of statistical learning : data mining, inference, and prediction
New York : Springer, 2009
2nd ed.Format: Book
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Computer age statistical inference : algorithms, evidence, and data science
New York, NY : Cambridge University Press, 2016Format: Book
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An introduction to statistical learning : with applications in R
New York : Springer, 2013Format: Book
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Statistical learning with sparsity : the lasso and generalizations
Boca Raton, FL : CRC Press, 2015Format: Book
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An introduction to statistical learning : with applications in R
Boston : Springer, 2022
Second edition.Format: Book
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An introduction to statistical learning : with applications in R
New York : Springer, 2014
Corrected.Format: Book
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