Daniele Durante
Daniele Durante
Assistant Professor, Department of Decision Sciences, Bocconi University
Verified email at unibocconi.it - Homepage
TitleCited byYear
Nonparametric Bayes modeling of populations of networks
D Durante, DB Dunson, JT Vogelstein
Journal of the American Statistical Association 112 (520), 1516-1530, 2017
Nonparametric Bayes dynamic modeling of relational data
D Durante, DB Dunson
Biometrika 101 (4), 883-898, 2014
Bayesian inference and testing of group differences in brain networks
D Durante, DB Dunson
Bayesian Analysis 13 (1), 29-58, 2018
Locally adaptive dynamic networks
D Durante, DB Dunson
Annals of Applied Statistics 10 (4), 2203-2232, 2016
Bayesian dynamic financial networks with time-varying predictors
D Durante, DB Dunson
Statistics & Probability Letters 93, 19-26, 2014
Locally adaptive factor processes for multivariate time series
D Durante, B Scarpa, DB Dunson
Journal of Machine Learning Research 15, 1493-1522, 2014
A note on the multiplicative gamma process
D Durante
Statistics & Probability Letters 122, 198-204, 2017
Bayesian logistic Gaussian process models for dynamic networks
D Durante, D Dunson
Journal of Machine Learning Research Workshops & Proceedings 33, 194-201, 2014
Bayesian network–response regression
L Wang, D Durante, RE Jung, DB Dunson
Bioinformatics 33 (12), 1859-1866, 2017
Bayesian learning of dynamic multilayer networks
D Durante, N Mukherjee, RC Steorts
Journal of Machine Learning Research 18, 1-29, 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
Tractable Bayesian density regression via logit stick-breaking priors
T Rigon, D Durante
arXiv preprint arXiv:1701.02969, 2017
Bayesian semiparametric modelling of contraceptive behavior in India via sequential logistic regressions
T Rigon, D Durante, N Torelli
Journal of the Royal Statistical Society (Series A) 182 (1), 225-247, 2019
Connecting statistical brains
A Canale, D Durante, L Paci, B Scarpa
Significance 15 (1), 38-40, 2018
Convex mixture regression for quantitative risk assessment
A Canale, D Durante, D Dunson
Biometrics 74 (4), 1331-1340, 2018
Bayesian cumulative shrinkage for infinite factorizations
S Legramanti, D Durante, DB Dunson
arXiv preprint arXiv:1902.04349, 2019
Locally adaptive Bayesian multivariate time series
D Durante, B Scarpa, DB Dunson
Advances in Neural Information Processing Systems 26, 1664-1672, 2013
ROS Regression: Integrating Regularization with Optimal Scaling Regression.................... Jacqueline J. Meulman, Anita J. van der Kooij and Kevin LW Duisters 361 Aná…
A Bhadra, J Datta, NG Polson, B Willard, AL Smith, DM Asta, CA Calder, ...
Statistical Science [ISSN 0883-4237 (print); ISSN 2168-8745 (online)] 34 (3), 2019
Spatial modeling of brain connectivity data via latent distance models with nodes clustering
E Aliverti, D Durante
Statistical Analysis and Data Mining 12 (3), 185-196, 2019
A nested expectation–maximization algorithm for latent class models with covariates
D Durante, A Canale, T Rigon
Statistics & Probability Letters 146, 97-103, 2019
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