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Trevor Hastie

Trevor HastieTrevor Hastie is John A. Overdeck Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University. He is coauthor of The Elements of Statistical Learning (2009), a key text in the field of modern data analysis. He s also known for his work on generalized additive models, and for his contributions to the R computing environment. Hastie was elected to the National Academy of Sciences in 2018, received the Sigillum Magnum from the University of Bologna in 2019, and the Leo Breiman award from the American Statistical Association in 2020. Read More Read Less

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1.
An Introduction to Statistical Learning
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AED390
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Hardback
Release:
30 Jul 2021
Language:
English
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2.
An Introduction to Statistical Learning
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3.
The Elements of Statistical Learning
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AED273
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Hardback
Release:
09 Feb 2009
Language:
English
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4.
An Introduction to Statistical Learning
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AED220
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Paperback
Release:
30 Jul 2022
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English
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5.
An Introduction to Statistical Learning
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AED244
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Hardback
Release:
01 Sep 2017
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English
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6.
Computer Age Statistical Inference
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AED283
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Hardback
Release:
21 Jul 2016
Language:
English
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7.
Computer Age Statistical Inference, Student Edition
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AED211
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Paperback
Release:
17 Jun 2021
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English
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8.
Statistical Learning with Sparsity
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AED266
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Paperback
Release:
18 Dec 2020
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English
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9.
Statistical Learning with Sparsity
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AED608
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Release:
07 May 2015
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English
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10.
An Introduction to Statistical Learning
Publisher: Springer
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AED105
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Paperback
Release:
30 Jun 2013
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11.
The Elements of Statistical Learning
Publisher: Springer
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AED105
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Paperback
Release:
16 Mar 2009
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12.
Computer Age Statistical Inference
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AED586
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Digital download and online
Release:
05 Jul 2016
Language:
English
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13.
The Elements of Statistical Learning
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AED369
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Digital (delivered electronically)
Release:
14 May 2014
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English
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14.
Statistical Learning with Sparsity
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AED217
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Digital (delivered electronically)
Release:
07 May 2015
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English
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15.
The Elements of Statistical Learning
Publisher: Springer
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AED105
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15 Jan 2014
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