Robert Tibshirani: Difference between revisions
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His most well-known contributions are the |
His most well-known contributions are the |
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[[Lasso regression|LASSO method]], which proposed the use of L1 penalization in regression and related problems, and [[Significance Analysis of Microarrays]]. He has also co-authored three well-known books: "Generalized Additive Models", "An Introduction to the Bootstrap", and "The Elements of Statistical Learning", |
[[Lasso regression|LASSO method]], which proposed the use of L1 penalization in regression and related problems, and [[Significance Analysis of Microarrays]]. He has also co-authored three well-known books: "Generalized Additive Models", "An Introduction to the Bootstrap", and "The Elements of Statistical Learning", |
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<ref name="ElementsStatLearn">{{cite web | url=http://www-stat.stanford.edu/~tibs/ElemStatLearn/ | title="The Elements of Statistical Learning" | author1=Hastie, Trevor | author2=Tibshirani, Robert | author3=Friedman, Jerome H. | authorlink1=Trevor Hastie | authorlink3=Jerome H. Friedman |accessdate=15 June 2012 }}</ref> the last of which is available for free from the author's website |
<ref name="ElementsStatLearn">{{cite web | url=http://www-stat.stanford.edu/~tibs/ElemStatLearn/ | title="The Elements of Statistical Learning" | author1=Hastie, Trevor | author2=Tibshirani, Robert | author3=Friedman, Jerome H. | authorlink1=Trevor Hastie | authorlink3=Jerome H. Friedman |accessdate=15 June 2012 }}</ref> the last of which is available for free from the author's website. |
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His son, Ryan Tibshirani, is currently an Assistant Professor at Carnegie Mellon University in the department of Statistics and affiliated with the Machine Learning department. |
His son, Ryan Tibshirani, is currently an Assistant Professor at Carnegie Mellon University in the department of Statistics and affiliated with the Machine Learning department. |
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Revision as of 02:16, 1 August 2013
Robert Tibshirani | |
|---|---|
 | |
| Born | July 10, 1956 |
| Nationality | Canada, American |
| Alma mater | University of Waterloo, Stanford University |
| Known for | LASSO method |
| Spouse | Cheryl Denise McPhee |
| Scientific career | |
| Fields | Statistics |
| Institutions | Stanford University |
| Doctoral advisor | Bradley Efron |
Robert Tibshirani (born July 10, 1956) is a Professor in the Departments of Statistics and Health Research and Policy at Stanford University. He was a Professor at the University of Toronto from 1985 to 1998. In his work, he develops statistical tools for the analysis of complex datasets, most recently in genomics and proteomics.
His most well-known contributions are the LASSO method, which proposed the use of L1 penalization in regression and related problems, and Significance Analysis of Microarrays. He has also co-authored three well-known books: "Generalized Additive Models", "An Introduction to the Bootstrap", and "The Elements of Statistical Learning", [1] the last of which is available for free from the author's website.
His son, Ryan Tibshirani, is currently an Assistant Professor at Carnegie Mellon University in the department of Statistics and affiliated with the Machine Learning department.
Birthplace and education
Tibshirani was born on 10 July 1956 in Niagara Falls, Ontario, Canada. He received his B. Math. in statistics and computer science from the University of Waterloo in 1979 and a Master's degree in Statistics from University of Toronto in 1980. Tibshirani joined the doctoral program at Stanford University in 1981 and received his Ph.D. in 1984 under the supervision of Bradley Efron. His dissertation was entitled "Local likelihood estimation".[2]
Honors and awards
Tibshirani received the COPSS Presidents' Award in 1996. Given jointly by the world's leading statistical societies, the award recognizes outstanding contributions to statistics by a statistician under the age of 40. He is a fellow of the Institute of Mathematical Statistics, the American Statistical Association, a (Canadian) Steacie award winner and a Fellow of the Royal Society of Canada.[3] He was elected a member of the National Academy of Sciences in 2012.[4]
Tibshirani was made the 2012 Statistical Society of Canada's Gold Medalist at their yearly meeting in Guelph, Ontario for "exceptional contributions to methodology and theory for the analysis of complex data sets, smoothing and regression methodology, statistical learning, and classification, and application areas that include public health, genomics, and proteomics".[5] He will give a Gold Medal Address at the 2013 meeting in Edmonton.
References
- ^ Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome H. ""The Elements of Statistical Learning"". Retrieved 15 June 2012.
- ^ Robert Tibshirani at the Mathematics Genealogy Project
- ^ Proceedings of the Royal Society of Canada, 2001[dead link].
- ^ "National Academy of Sciences Members and Foreign Associates Elected". National Academy of Sciences. May 1, 2012.
- ^ ""SSC Award Winners in 2012"". Retrieved 15 June 2012.