18 citations · 66 across the 13 of their papers we have counts for
14 papers
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…
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…
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…
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…
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…
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…
A Practical Approach to Proper Inference with Linked Data
Andee Kaplan, Brenda Betancourt, Rebecca C. Steorts
Entity resolution (ER), comprising record linkage and de-duplication, is the process of merging noisy databases in the absence of unique identifiers to remove duplicate entities. O…
Modelling and prediction of financial trading networks: An application to the NYMEX natural gas futures market
Brenda Betancourt, Abel Rodríguez, Naomi Boyd
Over the last few years there has been a growing interest in using financial trading networks to understand the microstructure of financial markets. Most of the methodologies devel…
Investigating Competition in Financial Markets: A Sparse Autologistic Model for Dynamic Network Data
Brenda Betancourt, Abel Rodríguez, Naomi Boyd
We develop a sparse autologistic model for investigating the impact of diversification and disintermediation strategies in the evolution of financial trading networks. In order to…
Bayesian Fused Lasso regression for dynamic binary networks
Brenda Betancourt, Abel Rodríguez, Naomi Boyd
We propose a multinomial logistic regression model for link prediction in a time series of directed binary networks. To account for the dynamic nature of the data we employ a dynam…
Flexible Models for Microclustering with Application to Entity Resolution
Giacomo Zanella, Brenda Betancourt, Hanna Wallach +3
Most generative models for clustering implicitly assume that the number of data points in each cluster grows linearly with the total number of data points. Finite mixture models, D…
A weakly informative prior for Bayesian dynamic model selection with applications in fMRI
Jairo Alberto Fuquene Patiño, Brenda Betancourt, João B. M. Pereira
In recent years, Bayesian statistics methods in neuroscience have been showing important advances. In particular, detection of brain signals for studying the complexity of the brai…
Microclustering: When the Cluster Sizes Grow Sublinearly with the Size of the Data Set
Jeffrey Miller, Brenda Betancourt, Abbas Zaidi +2
Most generative models for clustering implicitly assume that the number of data points in each cluster grows linearly with the total number of data points. Finite mixture models, D…
Heavy tailed priors: an alternative to non-informative priors in the estimation of proportions on small areas
Jairo Fuquene, Brenda Betancourt
We explore the Cauchy and a new heavy tailed (Fuquene, Perez and Pericchi (2011)) priors to estimate proportions on small areas. Hierarchical models and the Binomial likelihood in…