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University News Archive

l r

12-6-2008 id:211

Kostas Kalogeropoulos, recent Doctoral graduate of AUEB's Department of Statistics (Petros Dellaportas, advisor) has been selected as one of the two finalists for the famous Savage Award

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The Savage Award

The well-known Savage Award , named in honor of Leonard J. "Jimmie" Savage, is bestowed each year to two outstanding doctoral dissertations in Bayesian econometrics and statistics, one each in:

  • Theory and Methods: for a dissertation that makes important original contributions to the foundations, theoretical developments, and/or general methodology of Bayesian analysis.
  • Applied Methodology: for a dissertation that makes outstanding contributions with novel Bayesian analysis of a substantive problem that has potential to impact statistical practice in a field of application.

Each award is accompanied by a monetary prize.

The award was instituted by the NBER-NSF Seminar in Bayesian Inference in Econometrics and Statistics in 1977. The Institute for Bayesian Analysis and the American Statistical Association Section on Bayesian Statistical Science (SBSS) joined as co-sponsors in 1993.

Winners of the Savage Award

Every year, there are two finalists selected for each category, internationally. This year, Kostas Kalogeropoulos, a graduate of AUEB?s Department of Statistics (Advisor Prof Petros Dellaportas) is one of the two finalists selected for the Theory and Methods prize. More specifically, this year?s finalist candidates are:

For the "Theory & Methods" Prize:

  1. Kostas Kalogeropoulos, Bayesian Inference for Multidimensional Diffusion Processes. Athens University of Economics and Business; Prof. Petros Dellaportas, advisor.
  2. Iain Murray, Advances in Markov chain Monte Carlo methods. University College London; Prof. Zoubin Ghahramani, advisor.

Dr. Kalogeropoulos is currently a postdoc student in the University of Cambridge and from 1/9/08 he will be a Lecturer in London School of Economics.



For the "Applied Methodology" Prize:

  1. Edoardo M. Airoldi, Bayesian Mixed-Membership Models of Complex and Evolving Networks. Carnegie Mellon University; Profs. Stephen E. Fienberg and Kathleen Carley, advisors.
  2. Vladimir Minin, Exploring Evolutionary Heterogeneity with Change-Point Models, Gaussian Markov Random Fields, and Markov Chain Induced Counting Processes. UCLA; Prof. Marc Suchard, advisor.

The winners will be announced in July 2008, at the 9th Internationa ISBA (International Society for Bayesian Analysis) Meeting, ISBA '08.

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