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Abel Rodr'iguez

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.AP3
  • math.ST1

identity via Semantic Scholar / OpenAlex

most citedBayesian Fused Lasso regression for dynamic binary networks

18 citations · 28 across the 4 of their papers we have counts for

collaborators

4 papers

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…

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