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R. Steorts

8 papers hereh-index 171.2k citations68 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author1
  • last author3

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • stat.ME4
  • stat.AP2
  • cs.DB1
  • math.ST1

identity via Semantic Scholar / OpenAlex

activity
20132021
most citedOn estimation of mean squared errors of benchmarked empirical Bayes estimators

23 citations · 34 across the 4 of their papers we have counts for

collaborators
Showing stat.MEShow all

4 papers · 1 filter

stat.ME2021

Transformed Fay-Herriot Model with Measurement Error in Covariates

Sepideh Mosaferi, Malay Ghosh, Rebecca C. Steorts

Statistical agencies are often asked to produce small area estimates (SAEs) for positively skewed variables. When domain sample sizes are too small to support direct estimators, ef…

stat.ME2020

Random Partition Models for Microclustering Tasks

Brenda Betancourt, Giacomo Zanella, Rebecca C. Steorts

Traditional Bayesian random partition models assume that the size of each cluster grows linearly with the number of data points. While this is appealing for some applications, this…

stat.ME2018

Generalized Bayesian Record Linkage and Regression with Exact Error Propagation

Rebecca C. Steorts, Andrea Tancredi, Brunero Liseo

Record linkage (de-duplication or entity resolution) is the process of merging noisy databases to remove duplicate entities. While record linkage removes duplicate entities from su…

stat.ME2013★ 23 cited

On estimation of mean squared errors of benchmarked empirical Bayes estimators

Rebecca C. Steorts, Malay Ghosh

We consider benchmarked empirical Bayes (EB) estimators under the basic area-level model of Fay and Herriot while requiring the standard benchmarking constraint. In this paper we d…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.