Rebecca Carter Steorts

Overview

You can find more information about my research group and work at:

https://resteorts.github.io/

Recent papers of mine can be found at 

https://arxiv.org/search/?query=steorts&searchtype=all&source=header

Education & Training

  • Ph.D., University of Florida 2012

  • M.S., Clemson University 2007

  • B.S., Davidson College 2005

Selected Grants

CAREER: Scalable Record Linkage through the Microclustering Property awarded by National Science Foundation (Principal Investigator). 2017 to 2022

Collaborative Research: Record Linkage and Privacy-Preserving Methods for Big Data awarded by National Science Foundation (Principal Investigator). 2015 to 2018

Metaknowledge Network: Knowledge about Knowledge to Answer the Big Questions awarded by University of Chicago (Principal Investigator). 2015 to 2016

Metaknowledge Network: Knowledge about Knowledge to Answer the Big Questions awarded by University of Chicago (Principal Investigator). 2015 to 2016

Bedoya, AD, Clement, ME, Phelan, M, Steorts, RC, O'Brien, C, and Goldstein, BA. "Minimal Impact of Implemented Early Warning Score and Best Practice Alert for Patient Deterioration." Critical Care Medicine (September 21, 2018). Full Text

Chen, B, Shrivastava, A, and Steorts, RC. "Unique entity estimation with application to the syrian conflict." Annals of Applied Statistics 12.2 (June 1, 2018): 1039-1067. Full Text

Durante, D, Mukherjee, N, and Steorts, RC. "Bayesian learning of dynamic multilayer networks." Journal of Machine Learning Research 18 (April 1, 2017): 1-29.

Steorts, RC, Hall, R, and Fienberg, SE. "A Bayesian Approach to Graphical Record Linkage and Deduplication." Journal of the American Statistical Association 111.516 (October 2016): 1660-1672. Full Text Open Access Copy

Steorts, RC. "Entity Resolution with Empirically Motivated Priors." Bayesian Analysis 10.4 (December 2015): 849-875. Full Text

Wehbe, L, Ramdas, A, Steorts, RC, and Shalizi, CR. "Regularized brain reading with shrinkage and smoothing." The Annals of Applied Statistics 9.4 (December 2015): 1997-2022. Full Text

Fienberg, SE, and Steorts, RC. "Discussion of “Estimating the Distribution of Dietary Consumption Patterns”." Statistical Science 29.1 (February 2014): 95-96. Full Text

Steorts, RC, Ventura, SL, Sadinle, M, and Fienberg, SE. "A comparison of blocking methods for record linkage." Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8744 (January 1, 2014): 253-268.

Steorts, RC, Hall, R, and Fienberg, SE. "SMERED: A Bayesian approach to graphical record linkage and de-duplication." Journal of Machine Learning Research 33 (January 1, 2014): 922-930. Open Access Copy

Pages

Steorts, RC, and Shrivastava, A. "Probabilistic blocking with an application to the syrian conflict." January 1, 2018. Full Text

Zanella, G, Betancourt, B, Wallach, H, Miller, J, Zaidi, A, and Steorts, RC. "Flexible models for microclustering with application to entity resolution." January 1, 2016.