activity
20172023
most citedBayesian Fused Lasso regression for dynamic binary networks

18 citations · 36 across the 7 of their papers we have counts for

collaborators

9 papers

stat.CO2023★ 8 cited

Fast Bayesian Record Linkage for Streaming Data Contexts

Ian Taylor, Andee Kaplan, Brenda Betancourt

Record linkage is the task of combining records from multiple files which refer to overlapping sets of entities when there is no unique identifying field. In streaming record linka…

stat.AP2023

A robust Bayesian latent position approach for community detection in networks with continuous attributes

Zhumengmeng Jin, Juan Sosa, Shangchen Song +1

The increasing prevalence of multiplex networks has spurred a critical need to take into account potential dependencies across different layers, especially when the goal is communi…

math.ST2022

Fast Generation of Exchangeable Sequence of Clusters Data

Keith Levin, Brenda Betancourt

Recent advances in Bayesian models for random partitions have led to the formulation and exploration of Exchangeable Sequences of Clusters (ESC) models. Under ESC models, it is the…

cs.SI2021★ 1 cited

A Latent Space Model for Multilayer Network Data

Juan Sosa, Brenda Betancourt

In this work, we propose a Bayesian statistical model to simultaneously characterize two or more social networks defined over a common set of actors. The key feature of the model i…

stat.ME2020

A Prior for Record Linkage Based on Allelic Partitions

Brenda Betancourt, Juan Sosa, Abel Rodríguez

In database management, record linkage aims to identify multiple records that correspond to the same individual. This task can be treated as a clustering problem, in which a latent…

stat.ME2020

Random Partition Models for Microclustering Tasks

Brenda Betancourt, Giacomo Zanella, Rebecca C. Steorts

Traditional Bayesian random partition models assume that the size of each cluster grows linearly with the number of data points. While this is appealing for some applications, this…