activity
20172020
most citedBayesian Fused Lasso regression for dynamic binary networks

18 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2020★ 1 cited

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…

math.ST2018★ 1 cited

Latent nested nonparametric priors

Federico Camerlenghi, David B. Dunson, Antonio Lijoi +2

Discrete random structures are important tools in Bayesian nonparametrics and the resulting models have proven effective in density estimation, clustering, topic modeling and predi…

stat.AP2017★ 5 cited

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…

stat.AP2017★ 4 cited

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…

stat.AP2017★ 18 cited

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…