research
∙
06/01/2023
A General Framework for Regression with Mismatched Data Based on Mixture Modeling
Data sets obtained from linking multiple files are frequently affected b...
share
research
∙
11/02/2021
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group
In the analysis of data sets consisting of (X, Y)-pairs, a tacit assumpt...
research
∙
08/24/2021
Predicting Census Survey Response Rates via Interpretable Nonparametric Additive Models with Structured Interactions
Accurate and interpretable prediction of survey response rates is import...
research
∙
10/01/2020
Estimation in exponential family Regression based on linked data contaminated by mismatch error
Identification of matching records in multiple files can be a challengin...
research
∙
10/03/2019
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data
Recently, there has been significant interest in linear regression in th...
research
∙
07/16/2019
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
A tacit assumption in linear regression is that (response, predictor)-pa...
research
∙
10/16/2017