Brenda Betancourt
Brenda Betancourt
Assistant Professor, University of Florida
Verified email at ufl.edu - Homepage
Title
Cited by
Cited by
Year
Flexible models for microclustering with application to entity resolution
G Zanella, B Betancourt, H Wallach, J Miller, A Zaidi, RC Steorts
arXiv preprint arXiv:1610.09780, 2016
282016
Microclustering: When the cluster sizes grow sublinearly with the size of the data set
J Miller, B Betancourt, A Zaidi, H Wallach, RC Steorts
arXiv preprint arXiv:1512.00792, 2015
152015
Bayesian fused lasso regression for dynamic binary networks
B Betancourt, A Rodríguez, N Boyd
Journal of Computational and Graphical Statistics 26 (4), 840-850, 2017
142017
Modelling and prediction of financial trading networks: An application to the nymex natural gas futures market
B Betancourt, A Rodríguez, N Boyd
arXiv preprint arXiv:1710.01415, 2017
82017
Investigating competition in financial markets: a sparse autologistic model for dynamic network data
B Betancourt, A Rodríguez, N Boyd
Journal of Applied Statistics 45 (7), 1157-1172, 2018
52018
Heavy tailed priors: an alternative to non-informative priors in the estimation of proportions on small areas
J Fuquene, B Betancourt
Rev. Bras. Biom 29 (3), 520-533, 2011
32011
Prediction of appointment no-shows using electronic health records
Q Lin, B Betancourt, BA Goldstein, RC Steorts
Journal of Applied Statistics 47 (7), 1220-1234, 2020
22020
Random Partition Models for Microclustering Tasks
B Betancourt, G Zanella, RC Steorts
Journal of the American Statistical Association, 1-13, 2020
12020
Posterior Prototyping: Bridging the Gap between Bayesian Record Linkage and Regression
A Kaplan, B Betancourt, RC Steorts
arXiv preprint arXiv:1810.01538, 2018
12018
A Prior for Record Linkage Based on Allelic Partitions
B Betancourt, J Sosa, A Rodríguez
arXiv preprint arXiv:2008.10118, 2020
2020
Modelling and prediction of financial trading networks: an application to the New York Mercantile Exchange natural gas futures market
B Betancourt, A Rodríguez, N Boyd
Journal of the Royal Statistical Society: Series C (Applied Statistics) 69 …, 2020
2020
A weakly informative prior for Bayesian dynamic model selection with applications in fMRI
JA Fúquene Patiño, B Betancourt, JBM Pereira
Journal of Applied Statistics 45 (7), 1173-1192, 2018
2018
DOCTOR OF PHILOSOPHY in STATISTICS AND APPLIED MATHEMATICS
B Betancourt
UNIVERSITY OF CALIFORNIA SANTA CRUZ, 2015
2015
Modeling and Prediction of Time Series of Directed Binary Networks
B Betancourt
UC Santa Cruz, 2015
2015
Bayesian Decision‐Making with Application to Resource Allocation
B Betancourt, RC Steorts
Wiley StatsRef: Statistics Reference Online, 1-9, 2014
2014
Intrinsic Priors for Testing Hardy-Weinberg Equilibrium
BB Canizales
Universidad de Puerto Rico, 2008
2008
A weakly informative prior for Bayesian dynamic model selection with applications in fMRI
B Betancourt, J Pereira
Modelling and prediction of financial trading net-works: A case study in the NYMEX natural gas futures market
B Betancourt, A Rodrıguez, N Boyd
Market MicrostructureImplications of Financial Networks
N Boyd, A Rodriguez, B Betancourt
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Articles 1–19