Követés
Rebecca Steorts
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
6672014
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
1772016
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), 49-55, 2019
1482019
Bayesian benchmarking with applications to small area estimation
GS Datta, M Ghosh, R Steorts, J Maples
Test 20, 574-588, 2011
902011
Entity resolution with empirically motivated priors
RC Steorts
852015
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
66*2016
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
502014
Two-stage benchmarking as applied to small area estimation
M Ghosh, RC Steorts
Test 22, 670-687, 2013
472013
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
372018
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
322020
Random partition models for microclustering tasks
B Betancourt, G Zanella, RC Steorts
Journal of the American Statistical Association 117 (539), 1215-1227, 2022
312022
(Almost) All of Entity Resolution
O Binette, RC Steorts
Science Advances, 2022
302022
Bayesian learning of dynamic multilayer networks
D Durante, N Mukherjee, RC Steorts
Journal of Machine Learning Research 18 (43), 1-29, 2017
302017
A unified framework for de-duplication and population size estimation (with discussion)
A Tancredi, R Steorts, B Liseo
282020
On Estimation of Mean Squared Errors
R Steorts, M Ghosh
Statistica Sinica 23 (2), 749-767, 2013
282013
d-blink: Distributed End-to-End Bayesian Entity Resolution
NG Marchant, Steorts, A Kaplan, BIP Rubinstein, DN Elazar, RC Steorts
Journal of Computational and Graphical Statistics 30 (2), 406-421, 2021
262021
Discussion of" Estimating the Distribution of Dietary Consumption Patterns"
SE Fienberg, RC Steorts
Statistical Science 29 (1), 95-96, 2014
19*2014
Probabilistic Blocking with an Application to the Syrian Conflict
RC Steorts, A Shrivastava
Privacy in Statistical Databases (Lecture Notes in Computer Science 11126 …, 2018
17*2018
Regularized Brain Reading with Shrinkage and Smoothing
L Wehbe, A Ramdas, RC Steorts, CR Shalizi
Applied Annals of Statistics 9 (4), 1997-2022, 2015
172015
Generalized Bayesian Record Linkage and Regression with Exact Error Propagation
RC Steorts, A Tancredi, B Liseo
Privacy in Statistical Databases (Lecture Notes in Computer Science 11126 …, 2018
152018
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Cikkek 1–20