158 citations · 260 across the 12 of their papers we have counts for
13 papers
Multifile Partitioning for Record Linkage and Duplicate Detection
Serge Aleshin-Guendel, Mauricio Sadinle
Merging datafiles containing information on overlapping sets of entities is a challenging task in the absence of unique identifiers, and is further complicated when some entities a…
The Central Role of the Identifying Assumption in Population Size Estimation
Serge Aleshin-Guendel, Mauricio Sadinle, Jon Wakefield
The problem of estimating the size of a population based on a subset of individuals observed across multiple data sources is often referred to as capture-recapture or multiple-syst…
Nonparametric Pattern-Mixture Models for Inference with Missing Data
Yen-Chi Chen, Mauricio Sadinle
Pattern-mixture models provide a transparent approach for handling missing data, where the full-data distribution is factorized in a way that explicitly shows the parts that can be…
Sequentially additive nonignorable missing data modeling using auxiliary marginal information
Mauricio Sadinle, Jerome P. Reiter
We study a class of missingness mechanisms, called sequentially additive nonignorable, for modeling multivariate data with item nonresponse. These mechanisms explicitly allow the p…
Bayesian Propagation of Record Linkage Uncertainty into Population Size Estimation of Human Rights Violations
Mauricio Sadinle
Multiple-systems or capture-recapture estimation are common techniques for population size estimation, particularly in the quantitative study of human rights violations. These meth…
Sequential identification of nonignorable missing data mechanisms
Mauricio Sadinle, Jerome P. Reiter
With nonignorable missing data, likelihood-based inference should be based on the joint distribution of the study variables and their missingness indicators. These joint models can…
Itemwise conditionally independent nonresponse modeling for incomplete multivariate data
Mauricio Sadinle, Jerome P. Reiter
We introduce a nonresponse mechanism for multivariate missing data in which each study variable and its nonresponse indicator are conditionally independent given the remaining vari…
Least Ambiguous Set-Valued Classifiers with Bounded Error Levels
Mauricio Sadinle, Jing Lei, Larry Wasserman
In most classification tasks there are observations that are ambiguous and therefore difficult to correctly label. Set-valued classifiers output sets of plausible labels rather tha…
Bayesian Estimation of Bipartite Matchings for Record Linkage
Mauricio Sadinle
The bipartite record linkage task consists of merging two disparate datafiles containing information on two overlapping sets of entities. This is non-trivial in the absence of uniq…
A Comparison of Blocking Methods for Record Linkage
Rebecca C. Steorts, Samuel L. Ventura, Mauricio Sadinle +1
Record linkage seeks to merge databases and to remove duplicates when unique identifiers are not available. Most approaches use blocking techniques to reduce the computational comp…
Detecting duplicates in a homicide registry using a Bayesian partitioning approach
Mauricio Sadinle
Finding duplicates in homicide registries is an important step in keeping an accurate account of lethal violence. This task is not trivial when unique identifiers of the individual…
The Strength of Arcs and Edges in Interaction Networks: Elements of a Model-Based Approach
Mauricio Sadinle
When analyzing interaction networks, it is common to interpret the amount of interaction between two nodes as the strength of their relationship. We argue that this interpretation…
A Generalized Fellegi-Sunter Framework for Multiple Record Linkage With Application to Homicide Record Systems
Mauricio Sadinle, Stephen E. Fienberg
We present a probabilistic method for linking multiple datafiles. This task is not trivial in the absence of unique identifiers for the individuals recorded. This is a common scena…