George Casella

George C. Casella
Born (1951-01-22)January 22, 1951
The Bronx, New York City
Died June 17, 2012(2012-06-17) (aged 61)
Gainesville, Florida
Nationality United States
Fields Statistics
Institutions Rutgers University, Cornell University, University of Florida
Alma mater Purdue University
Thesis Minimax Ridge Regression Estimation (1977[1])
Doctoral advisor Leon Jay Gleser[1]

George Casella (January 22, 1951 – June 17, 2012) was a Distinguished Professor in the Department of Statistics at the University of Florida. He died from multiple myeloma.

Academic career

Casella completed his undergraduate education at Fordham University and graduate education at Purdue University. He served on the faculty of Rutgers University, Cornell University, and the University of Florida. His contributions focused on the area of statistics including Monte Carlo methods, model selection, and genomic analysis.[2] He was particularly active in Bayesian and empirical Bayes methods, with works connecting with the Stein phenomenon, on assessing and accelerating the convergence of MCMC methods, as in his Rao-Blackwellisation technique,[3] and in inventing the Bayesian lasso.[4]

Awards

Casella was named as a Fellow of the American Statistical Association and the Institute of Mathematical Statistics in 1988, and he was made an Elected Fellow of the International Statistical Institute in 1989. In 2009, he was made a Foreign Member of the Spanish Royal Academy of Sciences.[5]

Selected bibliography

References

  1. 1 2 George Casella at the Mathematics Genealogy Project
  2. "Obituary: George Casella, 1951-2012". IMS Bulletin (Institute of Mathematical Statistics). Feb 27, 2013.
  3. Casella, G (1996). "Rao-Blackwellisation of sampling schemes". Biometrika 83 (1): 81–94. doi:10.1093/biomet/83.1.81. JSTOR 2337434.
  4. Park, Trevor; Casella, George (2008). "The Bayesian Lasso" (PDF). Journal of the American Statistical Association 103 (482): 681–686. doi:10.1198/016214508000000337.
  5. Casella, George. "VITA" (PDF). Retrieved 4 November 2012.

External links


This article is issued from Wikipedia - version of the Monday, April 27, 2015. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.