COLLEGE STATION --
A world-respected Stanford University statistician listed as an ISI Highly Cited Author in Mathematics and renowned for his contributions to the fields of nonparametric regression, statistical computation, data mining and bioinformatics will visit the Texas A&M University campus next week as the guest speaker for the biennial Emanuel Parzen Prize Lecture Series
, sponsored by the Texas A&M Department of Statistics
Trevor J. Hastie
, John A. Overdeck Professor of Mathematical Sciences at Stanford, will present a 3:45 p.m. public lecture, "Sparse Linear Models," Thursday (Nov. 6) in Room 2406B of the Memorial Student Center on the Texas A&M campus as recipient of the 2014 Emanuel and Carol Parzen Prize for Statistical Innovation. The presentation is free and open to the public.
Hastie is cited "for pioneering, influential, and outstanding research in statistical methodology and computational methods for statistics, including principle curves, generalized additive models, object-based computations for statistical models in S and R, least-angle regression, graphical lasso, the elastic net for variable selection, and many other contributions to statistical methods; leadership in developing computational methods at the interface of computer science and statistics for the analysis of large data sets and for statistical learning."
An elected fellow of the American Statistical Association, the Institute of Mathematical Statistics, the South African Statistical Society and the Royal Statistical Society, Hastie also is an elected member of the International Statistics Institute. He has published nearly 100 refereed articles in top-tier statistical, computational, medical and other journals.
Hastie's primary research focus is applied statistics -- specifically, applied nonparametric regression and classification, an area in which he has written two books. He also has made contributions in statistical computing, co-editing a large software library of modeling tools in the S-plus language, Statistical Models in S
, which forms the basis for much of the statistical modeling in R. His current research centers on applied statistical modeling and prediction problems in biology and genomics, medicine and industry.
Hastie, who earned a doctorate in statistics from Stanford in 1984, has been a professor of statistics and biostatistics at Stanford since 1999. He was named the John A. Overdeck Professor of Mathematical Sciences in 2013. In addition to serving as both associate chair (2005-06) and chair (2006-09) of the Stanford Department of Statistics, he is the founder and co-director of its Industrial Affiliate Program.
The Parzen Prize is named for Emanuel Parzen
, distinguished professor emeritus of statistics at Texas A&M University. Established and first awarded in 1994 to recognize Parzen's 65th birthday, it is presented in even-numbered years to North American statisticians in recognition of outstanding careers in the discipline and profession of statistics. In addition to an invitation to deliver the Parzen Prize Lecture, recipients receive a citation and a $1,000 honorarium plus travel expenses.
Parzen, who joined the Texas A&M Statistics faculty in 1978, retired in 2009 but continues his research in time-series analysis. In 1994, he was awarded the Samuel S. Wilks Memorial Medal of the American Statistical Association "for outstanding research in time-series analysis, especially for his innovative introduction of reproducing kernel spaces, spectral analysis and spectrum smoothing; for pioneering contributions in quantile and density quantile functions and estimation; for unusually successful and influential textbooks in probability and stochastic processes; for excellent and enthusiastic teaching and dissemination of statistical knowledge; and for a commitment to service on society councils, government advisory committees and editorial boards." Most recently, Parzen received the 2005 Gottfried E. Noether Award "for a lifetime of outstanding achievements and contributions in the field of nonparametric statistics, both in research and teaching."
For more information regarding the 2014 Parzen Prize Lecture, please contact the Department of Statistics at (979) 845-3141. Click here
to view online event information.
Contact: Shana K. Hutchins, (979) 862-1237 or email@example.com