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Call for Nominations: C. R. and Bhargavi Rao Prize

1 August 2016 161 views No Comment
C.R. Rao

C.R. Rao

Members of the Rao Prize Committee are accepting nominations for the
C. R. and Bhargavi Rao Prize for Outstanding Research in Statistics. The prize, awarded by the Penn State Department of Statistics, was established to recognize outstanding and influential innovations in the theory and practice of mathematical statistics, international leadership in directing statistical research, and pioneering contributions by a recognized leader in the field of statistics.

The Rao Prize is awarded in odd-numbered years to an individual working in the United States. The honoree receives a medal, cash prize, and invitation to visit Penn State to give a talk.

Nominations should include a letter describing the nominee’s outstanding contributions to leadership and research in statistics, a current curriculum vita, and two supporting letters.

Rao Prize Honorees

2003: Bradley Efron, Stanford University
2005: Jayaram Sethuraman, Florida State University (emeritus)
2007: Lawrence D. Brown, University of Pennsylvania
2009: Peter J. Bickel, University of California at Berkeley
2011: James O. Berger, Duke University
2013: Herman Chernoff, Harvard University (emeritus) and MIT
2015: Sir David Cox, University of Oxford

Submissions are due December 31 and should be emailed to depthead@stat.psu.edu or sent to Rao Prize Selection Committee Chair, 326 Thomas Building, Penn State University, University Park, PA 16802-2111.

C. R. Rao held the Eberly Chair in Statistics at Penn State from 1988–2001. He now serves as Holder Emeritus of the Eberly Chair in Statistics. He was the founding director of the Center for Multivariate Analysis. A President’s National Medal of Science Laureate, Rao is recognized worldwide as a pioneer of modern statistical theory and one of the world’s top five statisticians, with multifaceted distinctions as a mathematician, researcher, scientist, and teacher. His contributions to mathematics and statistical theory and applications have become part of undergraduate and graduate courses in statistics, econometrics, and electrical engineering at universities throughout the world.

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