Hastie, Trevor
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Personality
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System number
987007528128405171
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Information for Authority record
Name (Latin)
Hastie, Trevor
Other forms of name
Hastie, T. J. (Trevor J.)
Date of birth
1953-06-27
Associated country
United States
Field of activity
Education, Higher
Medical sciences
Statistics
Occupation
Authors
College teachers
Inventors
Associated Language
eng
Gender
male
MARC
MARC
Sources of Information
- An introduction to statistical learning, 2017:back cover (Trevor Hastie is professor of statistics at Stanford University. He co-developed much of the statistical modeling software and environment in R/S-PUS and invented principal curves and surfaces)
- Computer age statistical inference, 2017:dust jacket (Trevor Hastie is professor of statistics, and professor of biomedical data science at Stanford University. He's known for his work on generalized additive models and principal curves, and for his contributions to the R computing environment)
- His Generalized additive models, 1990:t.p. (T.J. Hastie; AT&T Lab., N.J.)
- Statistical models in S, 1991:cip t.p. (Trevor J. Hastie) data sheet (b. 6-27-53)
- nuc90-33375: Author's Generalized additive models, 1985(hdg. on CaOTU rept.: Hastie, Trevor; usage: Trevor Hastie)
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TrevorHastiePic
Trevor Hastie (made using a tripod and a remote control), CC BY-SA 3.0
Wikipedia description:
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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