| Nonparametric Bayes modeling of populations of networks D Durante, DB Dunson, JT Vogelstein Journal of the American Statistical Association 112 (520), 1516-1530, 2017 | 78 | 2017 |
| Nonparametric Bayes dynamic modeling of relational data D Durante, DB Dunson Biometrika 101 (4), 883-898, 2014 | 72 | 2014 |
| Bayesian inference and testing of group differences in brain networks D Durante, DB Dunson Bayesian Analysis 13 (1), 29-58, 2018 | 50 | 2018 |
| Locally adaptive dynamic networks D Durante, DB Dunson Annals of Applied Statistics 10 (4), 2203-2232, 2016 | 23 | 2016 |
| Locally adaptive factor processes for multivariate time series D Durante, B Scarpa, DB Dunson Journal of Machine Learning Research 15, 1493-1522, 2014 | 17 | 2014 |
| Bayesian dynamic financial networks with time-varying predictors D Durante, DB Dunson Statistics & Probability Letters 93, 19-26, 2014 | 16 | 2014 |
| A note on the multiplicative gamma process D Durante Statistics & Probability Letters 122, 198-204, 2017 | 14 | 2017 |
| Bayesian logistic Gaussian process models for dynamic networks D Durante, D Dunson AISTAT Proceedings 33, 194-201, 2014 | 12 | 2014 |
| Bayesian network–response regression L Wang, D Durante, RE Jung, DB Dunson Bioinformatics 33 (12), 1859-1866, 2017 | 8 | 2017 |
| Bayesian learning of dynamic multilayer networks D Durante, N Mukherjee, RC Steorts Journal of Machine Learning Research 18, 1-29, 2017 | 8 | 2017 |
| Bayesian modelling of networks in complex business intelligence problems D Durante, S Paganin, B Scarpa, DB Dunson Journal of the Royal Statistical Society (Series C) 66 (3), 555-580, 2017 | 7 | 2017 |
| Tractable Bayesian density regression via logit stick-breaking priors T Rigon, D Durante Journal of Statistical Planning and Inference, 2020 | 5 | 2020 |
| Conjugate Bayes for probit regression via unified skew-normal distributions D Durante Biometrika 106 (4), 765-779, 2019 | 5 | 2019 |
| Convex mixture regression for quantitative risk assessment A Canale, D Durante, D Dunson Biometrics 74 (4), 1331-1340, 2018 | 3 | 2018 |
| Bayesian cumulative shrinkage for infinite factorizations S Legramanti, D Durante, DB Dunson Biometrika, 2020 | 2 | 2020 |
| A nested expectation–maximization algorithm for latent class models with covariates D Durante, A Canale, T Rigon Statistics & Probability Letters 146, 97-103, 2019 | 2 | 2019 |
| Connecting statistical brains A Canale, D Durante, L Paci, B Scarpa Significance 15 (1), 38-40, 2018 | 2 | 2018 |
| Bayesian inference on group differences in multivariate categorical data M Russo, D Durante, B Scarpa Computational Statistics & Data Analysis 126, 136-149, 2018 | 2 | 2018 |
| Locally adaptive Bayesian multivariate time series D Durante, B Scarpa, DB Dunson NIPS Proceedings 26, 1664-1672, 2013 | 2 | 2013 |
| Conditionally conjugate mean-field variational Bayes for logistic models D Durante, T Rigon Statistical Science 34 (3), 472-485, 2019 | 1 | 2019 |
David DunsonArts & Sciences Professor of Statistical Science & MathematicsVerified email at duke.edu
