Robert Tibshirani

From Wikipedia, the free encyclopedia
Jump to navigation Jump to search
Robert Tibshirani

Robert tibshirani.jpg
Born (1956-07-10) July 10, 1956 (age 62)
NationalityCanada, American
Alma materUniversity of Waterloo
Stanford University
Known forLASSO method
Spouse(s)Cheryl Denise Tibshirani
Scientific career
InstitutionsStanford University
Doctoral advisorBradley Efron[1]
Doctoral studentsDaniela Witten[2][1]

Robert Tibshirani FRSC (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 four well-known books: Generalized Additive Models, An Introduction to the Bootstrap, The Elements of Statistical Learning,[3] and Introduction to Statistical Learning, the last two of which are available for free from the author's website.

Education and early life[edit]

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".[1]

His son, Ryan Tibshirani,[citation needed] with whom he occasionally publishes scientific papers, is currently[when?] an Associate Professor at Carnegie Mellon University in the department of Statistics, jointly in the Machine Learning Department.

Honors and awards[edit]

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, and a (Canadian) Steacie award winner. He was elected a Fellow of the Royal Society of Canada in 2001 and 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 gave his Gold Medal Address at the 2013 meeting in Edmonton.


  1. ^ a b c Robert Tibshirani at the Mathematics Genealogy Project
  2. ^ Witten, Daniela (2010). A penalized matrix decomposition, and its applications (PDF). (PhD thesis). Stanford University. OCLC 667187274. Retrieved 2018-08-28.CS1 maint: Date and year (link)
  3. ^ Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome H. "The Elements of Statistical Learning". Archived from the original on 10 November 2009. Retrieved 15 June 2012.
  4. ^ "National Academy of Sciences Members and Foreign Associates Elected". National Academy of Sciences. May 1, 2012. Archived from the original on May 4, 2012.
  5. ^ "SSC Award Winners in 2012". Archived from the original on 16 July 2012. Retrieved 15 June 2012.