Jerome P. Reiter

Artificial Intelligence · 2002–2014

A researcher in the Science corpus: 17 papers; trusts 35 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #10,006 of 35,345 by trust here, #10,319 by citations
• Statistics and Probability — 29 citations into it; #2,199 of 12,932 by trust here, #3,330 by citations
• Privacy & Security — 15 citations into it; #406 of 709 by trust here, #434 by citations
• Economics and Econometrics — 13 citations into it; #22,503 of 23,481 by trust here, #22,128 by citations
• Management Science and Operations Research — 9 citations into it; #1,509 of 11,946 by trust here, #5,092 by citations
• Mathematical Physics — 5 citations into it

Whom Jerome P. Reiter trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Donald B. Rubin
2. Trivellore E. Raghunathan
3. Diane Lambert
4. Hemant Ishwaran
5. Keisuke Hirano
6. Hugh A. Chipman
7. Leo Breiman
8. L. A. Goodman
9. Stephen G. Walker
10. Alan F. Karr

Who trusts Jerome P. Reiter overall

1. Josep Domingo-Ferrer
2. Alan F. Karr
3. Lei Xu
4. James E. Johndrow
5. John M. Abowd
6. Kalyan Veeramachaneni
7. Lei Xu
8. Michael Hay
9. Ashwin Machanavajjhala
10. S. van Buuren

Papers from Jerome P. Reiter's perspective

Ordered by how strongly the researchers Jerome P. Reiter trusts endorse each paper. Same corpus, a different order for every researcher.

1. INFERENCE AND MISSING DATA
2. Analysis of Incomplete Multivariate Data (Technometrics)
3. Sampling-Based Approaches to Calculating Marginal Densities
4. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
5. Multiple Imputation After 18+ Years
6. Gibbs Sampling Methods for Stick-Breaking Priors
7. Multiple Imputation for Statistical Disclosure Limitation
8. On Private Scalar Product Computation for Privacy-Preserving Data Mining
9. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
10. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems

Their papers

• A Framework for Evaluating the Utility of Data Altered to Protect Confidentiality (2006) — 233 citations
• Small-sample degrees of freedom for multi-component significance tests with multiple imputation for missing data (2007) — 87 citations
• Estimating Risks of Identification Disclosure in Microdata (2005) — 151 citations
• Releasing multiply imputed, synthetic public use microdata: an illustration and empirical study (2005) — 261 citations
• Secure Regression on Distributed Databases (2005) — 146 citations
• Significance tests for multi-component estimands from multiply imputed, synthetic microdata (2005) — 77 citations
• Multiple Imputation of Missing or Faulty Values Under Linear Constraints (2014) — 59 citations
• Bayesian Estimation of Discrete Multivariate Latent Structure Models With Structural Zeros (2014) — 58 citations
• Nonparametric Bayesian Multiple Imputation for Incomplete Categorical Variables in Large-Scale Assessment Surveys (2013) — 52 citations
• A Note on Bayesian Inference After Multiple Imputation (2010) — 119 citations
• Privacy-Preserving Analysis of Vertically Partitioned Data Using Secure Matrix Products (2009) — 133 citations
• Secure, Privacy-Preserving Analysis of Distributed Databases (2007) — 77 citations
• Using CART to generate partially synthetic public use microdata (2005) — 314 citations
• Regression on Distributed Databases via Secure Multi-Party Computation (2004) — 16 citations
• Privacy preserving regression modelling via distributed computation (2004) — 159 citations
• Multiple Imputation for Statistical Disclosure Limitation (2003) — 500 citations
• Satisfying Disclosure Restrictions With Synthetic Data Sets (2002) — 163 citations