Rebecca Steorts
Title
Cited by
Cited by
Year
A comparison of blocking methods for record linkage
RC Steorts, SL Ventura, M Sadinle, SE Fienberg
International conference on privacy in statistical databases, 253-268, 2014
5812014
Flexible Models for Microclustering with Application to Entity Resolution
B Betancourt, G Zanella, JW Miller, H Wallach, A Zaidi, RC Steorts
Advances in Neural Information Processing Systems, 1417-1425, 2016
508*2016
A Bayesian approach to graphical record linkage and de-duplication
RC Steorts, R Hall, SE Fienberg
Journal of the American Statistical Association: Theory and Methods 111 (516 …, 2016
1232016
Bayesian benchmarking with applications to small area estimation
GS Datta, M Ghosh, R Steorts, J Maples
Test 20 (3), 574-588, 2011
702011
Minimal impact of implemented early warning score and best practice alert for patient deterioration
AD Bedoya, ME Clement, M Phelan, RC Steorts, C O’Brien, BA Goldstein
Critical care medicine 47 (1), 49, 2019
612019
Entity resolution with empirically motivated priors
RC Steorts
Bayesian Analysis 10 (4), 849-875, 2015
612015
SMERED: a Bayesian approach to graphical record linkage and de-duplication
RC Steorts, R Hall, SE Fienberg
Journal of Machine Learning W&CP 29 (1), 922-930, 2014
432014
Two-stage benchmarking as applied to small area estimation
M Ghosh, RC Steorts
Test 22 (4), 670-687, 2013
382013
Unique entity estimation with application to the Syrian conflict
B Chen, A Shrivastava, RC Steorts
The Annals of Applied Statistics 12 (2), 1039-1067, 2018
232018
Unique entity estimation with application to the Syrian conflict
B Chen, A Shrivastava, RC Steorts
The Annals of Applied Statistics 12 (2), 1039-1067, 2018
232018
On estimation of mean squared errors of benchmarked empirical Bayes estimators
RC Steorts, M Ghosh
Statistica Sinica 23 (2), 2013
192013
Bayesian learning of dynamic multilayer networks
D Durante, N Mukherjee, RC Steorts
The Journal of Machine Learning Research 18 (1), 1414-1442, 2017
182017
Regularized Brain Reading with Shrinkage and Smoothing
L Wehbe, A Ramdas, RC Steorts, CR Shalizi
Applied Annals of Statistics (In Press), 2015
182015
Development, implementation, and evaluation of an in-hospital optimized early warning score for patient deterioration
C O’Brien, BA Goldstein, Y Shen, M Phelan, C Lambert, AD Bedoya, ...
MDM policy & practice 5 (1), 2381468319899663, 2020
172020
Discussion of" Estimating the Distribution of Dietary Consumption Patterns"
SE Fienberg, RC Steorts
Statistical Science 29 (1), 95-96, 2014
16*2014
Bayesian learning of dynamic multilayer networks
D Durante, N Mukherjee, RC Steorts
The Journal of Machine Learning Research 18 (1), 1414-1442, 2017
142017
Blocking methods applied to casualty records from the syrian conflict
P Sadosky, A Shrivastava, M Price, RC Steorts
arXiv preprint arXiv:1510.07714, 2015
132015
Variational Bayes for Merging Noisy Databases
T Broderick, RC Steorts
NIPS Variational Bayes Workshops, 2014, 2014
92014
Random Partition Models for Microclustering Tasks
B Betancourt, G Zanella, RC Steorts
Journal of the American Statistical Association, 1-13, 2020
82020
A privacy preserving algorithm to release sparse high-dimensional histograms
B Li, V Karwa, A Slavković, RC Steorts
Journal of Privacy and Confidentiality 8 (1), 2018
82018
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Articles 1–20