Eubank Prize

Eubank Prize 2017-05-23T21:57:24+00:00

7th Eubank Conference on Real World Markets (2017)

CoFES awards the  2017 Nancy Moore and J. Thomas Eubank Prize in Computational Statistics to: Sheri Markose, Ph.D., Professor Economics, University of Essex

For integrative systhesis and data driven leadership toward understanding systemic risk in global financial markets. 

CoFES awards the 2017 Nancy Moore and J. Thomas Eubank Prize in Computational Statistics to: John A. Dobelman, Ph.D., Professor of the Practice in Statistics, Rice University

For the development of a highly successful MSTAT program with global reach, contributions to CoFES and his research in anti-efficient markets. 

6th Eubank Conference on Real World Markets (2016)

CoFES awards the 2016 Nancy Moore and J. Thomas Eubank Prize in Computational Statistics to: David W. Scott, Ph.D., Noah Harding Professor of Statistics, Rice University

For innovation in multivariate data driven answers, exceptional leadership and service to statistics,  and expert and compassionate mentoring of the next generation of statistical leaders. 

5th Eubank Conference on Real World Markets (2015)

CoFES awarded the 2015 Nancy Moore and J. Thomas Eubank Prize in Computational Statistics to: Edward E. Williams, Ph.D.

For his service as a super teacher, his example of being a successful and ethical businessman, his fearless devotion to objective inferences based on facts, his service to Rice University in general and to finance and entrepreneurship in particular.

CoFES awarded the 2015 Nancy Moore and J. Thomas Eubank Prize in Computational Statistics to: Brian Domitrovic, Ph.D.

For his data based analyses of various economic systems, for his explications of supply side economics, for his publications and presentations which have viewed economics not as a dismal science but as a bright one.

4th Eubank Conference on Real World Markets (2013)

CoFES awarded the 2013 Nancy Moore and J. Thomas Eubank Prize in Computational Statistics to: James R. Thompson, Ph.D.

For innovation and leadership in statistics and transforming portfolio design.