activity
20112026
most citedHigh dimensional Bayesian inference for Gaussian directed acyclic graph models

24 citations · 42 across the 13 of their papers we have counts for

collaborators

14 papers

stat.AP2026

Spatial Dependence in the Self-Response: Spatial Dependence, Modeling, and Operational Consequences

Emanuel Ben-David

The U.S.\ Census Bureau's Low Response Score (LRS) is a central planning instrument for identifying places likely to require additional self-response outreach and nonresponse follo…

stat.ME2023

A General Framework for Regression with Mismatched Data Based on Mixture Modeling

Martin Slawski, Brady T. West, Priyanjali Bukke +3

Data sets obtained from linking multiple files are frequently affected by mismatch error, as a result of non-unique or noisy identifiers used during record linkage. Accounting for…

stat.ML2021

Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group

Zhenbang Wang, Emanuel Ben-David, Martin Slawski

In the analysis of data sets consisting of (X, Y)-pairs, a tacit assumption is that each pair corresponds to the same observation unit. If, however, such pairs are obtained via rec…

stat.ML2021

Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions

Shibal Ibrahim, Peter Radchenko, Emanuel Ben-David +1

In this paper, we consider the problem of predicting survey response rates using a family of flexible and interpretable nonparametric models. The study is motivated by the US Censu…

stat.ME2020★ 5 cited

Estimation in exponential family Regression based on linked data contaminated by mismatch error

Zhenbang Wang, Emanuel Ben-David, Martin Slawski

Identification of matching records in multiple files can be a challenging and error-prone task. Linkage error can considerably affect subsequent statistical analysis based on the r…

stat.ME2019★ 1 cited

A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data

Martin Slawski, Guoqing Diao, Emanuel Ben-David

Recently, there has been significant interest in linear regression in the situation where predictors and responses are not observed in matching pairs corresponding to the same stat…