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Jerome P. Reiter

4 papers hereh-index 347 citations6 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME3
  • cs.CR1
same name
  • Jerome P. Reiter — 30 papers, h 49
  • Jerome P. Reiter — 6 papers, h 3
  • Jerome P. Reiter — 4 papers, h 2
  • Jerome P. Reiter — 3 papers, h 2
  • Jerome P. Reiter — 3 papers, h 1
  • Jerome P. Reiter — 2 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132024
most citedFully Synthetic Data for Complex Surveys

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CR2024

Differentially Private Finite Population Estimation via Survey Weight Regularization

Jeremy Seeman, Yajuan Si, Jerome P Reiter

In general, it is challenging to release differentially private versions of survey-weighted statistics with low error for acceptable privacy loss. This is because weighted statisti…

stat.ME2023★ 1 cited

Fully Synthetic Data for Complex Surveys

Shirley Mathur, Yajuan Si, Jerome P. Reiter

When seeking to release public use files for confidential data, statistical agencies can generate fully synthetic data. We propose an approach for making fully synthetic data from…

stat.ME2015

Bayesian Latent Pattern Mixture Models for Handling Attrition in Panel Studies With Refreshment Samples

Yajuan Si, Jerome P. Reiter, D. Sunshine Hillygus

Many panel studies collect refreshment samples---new, randomly sampled respondents who complete the questionnaire at the same time as a subsequent wave of the panel. With appropria…

stat.ME2013

Handling Attrition in Longitudinal Studies: The Case for Refreshment Samples

Yiting Deng, D. Sunshine Hillygus, Jerome P. Reiter +2

Panel studies typically suffer from attrition, which reduces sample size and can result in biased inferences. It is impossible to know whether or not the attrition causes bias from…

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