| Flexible models for microclustering with application to entity resolution B Betancourt, G Zanella, JW Miller, H Wallach, A Zaidi, RC Steorts Advances in neural information processing systems 29, 2016 | 56 | 2016 |
| Random partition models for microclustering tasks B Betancourt, G Zanella, RC Steorts Journal of the American Statistical Association 117 (539), 1215-1227, 2022 | 33 | 2022 |
| 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 | 29 | 2015 |
| 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 | 25 | 2017 |
| A latent space model for multilayer network data J Sosa, B Betancourt Computational Statistics & Data Analysis 169, 107432, 2022 | 18 | 2022 |
| 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 | 16 | 2020 |
| A prior for record linkage based on allelic partitions B Betancourt, J Sosa, A Rodríguez Computational Statistics & Data Analysis 172, 107474, 2022 | 11 | 2022 |
| Automatic selection of the number of clusters using Bayesian clustering and sparsity‐inducing priors D Valle, Y Jameel, B Betancourt, ET Azeria, N Attias, J Cullen Ecological Applications 32 (3), e2524, 2022 | 10 | 2022 |
| 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 (1 …, 2020 | 8 | 2020 |
| A practical approach to proper inference with linked data A Kaplan, B Betancourt, RC Steorts The American Statistician 76 (4), 384-393, 2022 | 7 | 2022 |
| 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 | 7 | 2017 |
| 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 | 6 | 2018 |
| The Effects of Depth-Related Environmental Factors on Traits in Acropora cervicornis Raised in Nurseries CP Ruiz-Diaz, C Toledo-Hernández, JL Sánchez-González, B Betancourt Water 14 (2), 212, 2022 | 5 | 2022 |
| Fast Bayesian Record Linkage for Streaming Data Contexts I Taylor, A Kaplan, B Betancourt Journal of Computational and Graphical Statistics, 1-12, 2024 | 4 | 2024 |
| Heavy tailed priors: an alternative to non-informative priors in the estimation of proportions on small areas JA FÚQUENE, BB CANIZALES, J VEGA Rev. Bras. Biom 29 (3), 520-533, 2011 | 4 | 2011 |
| Posterior prototyping: bridging the gap between bayesian record linkage and regression A Kaplan, B Betancourt, RC Steorts arXiv preprint arXiv:1810.01538, 2018 | 2 | 2018 |
| Fast generation of exchangeable sequences of clusters data K Levin, B Betancourt Statistics and Computing 34 (2), 72, 2024 | 1 | 2024 |
| The Effects of Depth-Related Environmental Factors on Traits in Acropora cervicornis Raised in Nurseries. Water 2022, 14, 212 CP Ruiz-Diaz, C Toledo-Hernández, JL Sánchez-González, B Betancourt s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | 1 | 2022 |
| Modeling and Prediction of Time Series of Directed Binary Networks B Betancourt UC Santa Cruz, 2015 | 1 | 2015 |
| Generative Filtering for Recursive Bayesian Inference with Streaming Data I Taylor, A Kaplan, B Betancourt Journal of Computational and Graphical Statistics, 1-20, 2024 | | 2024 |
Rebecca SteortsDuke UniversityVerified email at stat.duke.edu