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Rebecca C. Steorts
Visiting Assistant Professor
Department of Statistics
Carnegie Mellon University
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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!
Education:
Ph.D., Statistics, University of Florida, 2012.
M.S., Mathematical Sciences, Clemson University, 2007.
B.S., Mathematics, Davidson College, 2005.
Curriculum Vitae:
Publications/Submissions:
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Datta, Ghosh, Steorts, and Maples
(2011). "Bayesian benchmarking with applications to small area estimation," TEST, 20(3), 574-588. pdf
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Hall, Steorts, and Fienberg (2012).
"Bayesian parametric and nonparametric inference for multiple record linkage," Modern Nonparametric Methods in Machine Learning Workshop , NIPS. pdf
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Steorts and Ghosh
(2013). "On estimation of mean squared errors of benchmarked
empirical Bayes estimators," Statistica Sinica, (to appear). pdf
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Ghosh and Steorts
(2013). "Two-stage Bayesian benchmarking as applied to small area estimation," In Revision.
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Hall, Steorts, and Fienberg (2013).
"Bayesian parametric and nonparametric inference for multiple record linkage," Working paper.
Teaching:
Other Interests:
JAGS Tutorial