Rebecca C. Steorts
Visiting Assistant Professor
Department of Statistics
Carnegie Mellon University
Office: Baker Hall 132K
E-mail: beka at cmu dot edu
Research Interests: Bayesian methods, small area estimation, survey sampling,
decision theory, multiple record linkage, capture recapture methods, and sports statistics.
Other Interests: Running (and all sports), film and theatre, water and snow skiing,
cooking, watching college football and hoops, and hanging out with my dog Noah!
Ph.D., Statistics, University of Florida, 2012.
M.S., Mathematical Sciences, Clemson University, 2007.
B.S., Mathematics, Davidson College, 2005.
Datta, Ghosh, Steorts, and Maples
(2011). "Bayesian benchmarking with applications to small area estimation," TEST, 20(3), 574-588. pdf
Hall, Steorts, and Fienberg (2012).
"Bayesian parametric and nonparametric inference for multiple record linkage," Modern Nonparametric Methods in Machine Learning Workshop , NIPS. pdf
Steorts and Ghosh
(2013). "On estimation of mean squared errors of benchmarked
empirical Bayes estimators," Statistica Sinica, 23 (2). pdf
Ghosh and Steorts
(2013). "Two-stage Bayesian benchmarking as applied to small area estimation," In Revision.
Steorts, Hall, and Fienberg (2013).
"Bayesian parametric and nonparametric inference for multiple record linkage," Working paper.