The Department of Statistics in the College of Science at Texas A&M University will award the 2004 Emanuel and Carol Parzen Prize for Statistical Innovation to Jerome H. Friedman, professor of statistics at Stanford University in a ceremony Monday (March 1) at 4 p.m. in room 100 of the Chemistry Building.

Friedman will present a lecture, "Gradient Directed Regularization for Linear Regression and Classification," and will describe his research on linear modeling using novel strategies.

Friedman, who received his Ph.D. in physics from the University of California, Berkeley in 1967, is internationally recognized as a world class pioneer in the theory and practice of computational statistics and data science. He has contributed an outstanding array of topics and methodologies to data mining and machine learning. He is also credited with pioneering and implementing new statistical methodologies.

The Parzen Prize for Statistical Innovation is awarded in even numbered years to North American statisticians who have made outstanding and influential contributions to the development of applicable and innovative statistical methods. The prize was established to reduce the scarcity of prestigious awards and prizes that recognize outstanding careers in the discipline and profession of statistics.

Dr. Emanuel Parzen, Distinguished Professor of Statistics

The Parzen Prize is supported by the Emanuel and Carol Parzen Fund, which was established as an endowment at the Texas A&M Development Foundation in honor of the 65th birthday on April 21, 1994 of Emanuel Parzen, Distinguished Professor of Statistics at Texas A&M University.


Contact: Pat Schaub, Communications Specialist, College of Science, Texas A&M University, EMAIL: pschaub@science.tamu.edu, PH: 979-862-1237.

Schaub Pat

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