Robert Tibshirani
Robert Tibshirani American | |
---|---|
Alma mater | University of Waterloo University of Toronto Stanford University |
Known for | Lasso method |
Spouse | Cheryl Denise Tibshirani |
Scientific career | |
Fields | Statistics |
Institutions | Stanford University |
Doctoral advisor | Bradley Efron[1] |
Doctoral students | |
Website | tibshirani |
Robert Tibshirani FRS FRSC (born July 10, 1956) is a professor in the Departments of Statistics and Biomedical Data Science 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
Education and early life
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 the 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".[1]
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
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".[4] He gave his Gold Medal Address at the 2013 meeting in Edmonton. He was elected to the Royal Society in 2019. Tibshirani was named as the 2021 recipient of the ISI Founders of Statistics Prize for his 1996 paper Regression Shrinkage and Selection via the Lasso.
Personal life
His son, Ryan Tibshirani,[5] with whom he occasionally publishes scientific papers, is a professor at UC Berkeley in the Department of Statistics.
Publications
Tibshirani is a prolific author of scientific works on various topics in applied statistics, including
- T. Hastie and R. Tibshirani, Generalized Additive Models, Chapman and Hall, 1990.
- B. Efron and R. Tibshirani, An Introduction to the Bootstrap, Chapman and Hall, 1993
- T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning: Prediction, Inference and Data Mining, Second Edition, Springer Verlag, 2009 [7] (available for free from the co-author's website).
- G. James, D. Witten, T. Hastie, R. Tibshirani, An Introduction to Statistical Learning with Applications in R, Springer Verlag, 2013 [8] (available for free from the co-author's website).
- T. Hastie, R. Tibshirani, M. Wainwright, Statistical Learning with Sparsity: the Lasso and Generalizations, CRC Press, 2015 [9] (available for free from the co-author's website).
See also
References
- ^ a b c Robert Tibshirani at the Mathematics Genealogy Project
- OCLC 667187274. Retrieved 2018-08-28.
- ^ "National Academy of Sciences Members and Foreign Associates Elected". National Academy of Sciences. May 1, 2012. Archived from the original on May 4, 2012.
- ^ "SSC Award Winners in 2012". Archived from the original on 16 July 2012. Retrieved 15 June 2012.
- ISBN 978-0367738334. Retrieved 5 October 2022.
- ^ "H - Research Analytics". Thomson Reuters. Retrieved 8 April 2012.
- ^ Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome H. "The Elements of Statistical Learning". Archived from the original on 10 November 2009. Retrieved 15 June 2012.
- ^ James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert. "An Introduction to Statistical Learning with Applications in R". Retrieved 3 July 2016.
- ^ Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin. "Statistical Learning with Sparsity: the Lasso and Generalizations". Retrieved 3 July 2016.
External links
- Robert Tibshirani publications indexed by Google Scholar