Search Results - Hastie, Trevor
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. Provided by Wikipedia- Showing 1 - 11 results of 11
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The elements of statistical learning : data mining, inference, and prediction : with 200 full-color illustrations / by Hastie, Trevor
Published 2001Call Number: Loading…Full Text (via Springer)
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The elements of statistical learning : data mining, inference, and prediction / by Hastie, Trevor
Published 2001Call Number: Loading…
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Generalized additive models / by Hastie, Trevor
Published 2017Call Number: Loading…Full Text (via Taylor & Francis)
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Computer age statistical inference : algorithms, evidence, and data science / by Efron, Bradley, Hastie, Trevor
Published 2016Call Number: Loading…
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Computer age statistical inference : algorithms, evidence, and data science / by Efron, Bradley, Hastie, Trevor
Published 2016Call Number: Loading…Full Text (via Cambridge)
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Statistical learning with sparsity : the lasso and generalizations / by Hastie, Trevor, Tibshirani, Robert, Wainwright, Martin (Martin J.)
Published 2015Call Number: Loading…Full Text (via O'Reilly/Safari)
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The elements of statistical learning : data mining, inference, and prediction / by Hastie, Trevor, Tibshirani, Robert, Friedman, J. H. (Jerome H.)
Published 2009Call Number: Loading…Full Text (via Springer)
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An introduction to statistical learning : with applications in R / by James, Gareth (Gareth Michael), Witten, Daniela, Hastie, Trevor, Tibshirani, Robert
Published 2015Call Number: Loading…
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An introduction to statistical learning : with applications in R / by James, Gareth (Gareth Michael), Witten, Daniela, Hastie, Trevor, Tibshirani, Robert
Published 2021Call Number: Loading…Full Text (via Springer)
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An introduction to statistical learning : with applications in R / by James, Gareth (Gareth Michael), Witten, Daniela, Hastie, Trevor, Tibshirani, Robert
Published 2013Call Number: Loading…Full Text (via Springer)
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An introduction to statistical learning : with applications in Python / by James, Gareth (Gareth Michael), Witten, Daniela, Hastie, Trevor, Tibshirani, Robert, Taylor, Jonathan
Published 2023Call Number: Loading…Full Text (via Springer)
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Related Subjects
Mathematical statistics
Data processing
Mathematical models
R (Computer program language)
Statistics
Supervised learning (Machine learning)
Linear models (Statistics)
Biology
Computational biology
Data mining
Electronic data processing
Least squares
Mathematics
Models, Statistical
Proof theory
Python (Computer program language)
Regression analysis
Smoothing (Statistics)
Statistics as Topic