Följ
Daniele Durante
Daniele Durante
Assistant Professor, Department of Decision Sciences, Bocconi University
Verifierad e-postadress på unibocconi.it - Startsida
Titel
Citeras av
Citeras av
År
Nonparametric Bayes modeling of populations of networks
D Durante, DB Dunson, JT Vogelstein
Journal of the American Statistical Association 112 (520), 1516-1530, 2017
1552017
Nonparametric Bayes dynamic modeling of relational data
D Durante, DB Dunson
Biometrika 101 (4), 883-898, 2014
1262014
Bayesian inference and testing of group differences in brain networks
D Durante, DB Dunson
Bayesian Analysis 13 (1), 29-58, 2018
1252018
Conjugate Bayes for probit regression via unified skew-normal distributions
D Durante
Biometrika 106 (4), 765-779, 2019
622019
Bayesian cumulative shrinkage for infinite factorizations
S Legramanti, D Durante, DB Dunson
Biometrika 107 (3), 745-752, 2020
602020
A note on the multiplicative gamma process
D Durante
Statistics & Probability Letters 122, 198-204, 2017
532017
Locally adaptive dynamic networks
D Durante, DB Dunson
Annals of Applied Statistics 10 (4), 2203-2232, 2016
492016
Conditionally conjugate mean-field variational Bayes for logistic models
D Durante, T Rigon
Statistical Science 34 (3), 472-485, 2019
362019
Bayesian network–response regression
L Wang, D Durante, RE Jung, DB Dunson
Bioinformatics 33 (12), 1859-1866, 2017
352017
Bayesian dynamic financial networks with time-varying predictors
D Durante, DB Dunson
Statistics & Probability Letters 93, 19-26, 2014
342014
Scalable and accurate variational Bayes for high-dimensional binary regression models
A Fasano, D Durante, G Zanella
Biometrika 109 (4), 901-919, 2022
312022
Tractable Bayesian density regression via logit stick-breaking priors
T Rigon, D Durante
Journal of Statistical Planning and Inference 211, 131-142, 2021
282021
A class of conjugate priors for multinomial probit models which includes the multivariate normal one
A Fasano, D Durante
Journal of Machine Learning Research 23 (30), 1-26, 2022
262022
Bayesian learning of dynamic multilayer networks
D Durante, N Mukherjee, RC Steorts
Journal of Machine Learning Research 18, 1-29, 2017
252017
Bayesian logistic Gaussian process models for dynamic networks
D Durante, D Dunson
Journal of Machine Learning Research Proceedings (AISTATS) 33, 194-201, 2014
212014
A closed-form filter for binary time series
A Fasano, G Rebaudo, D Durante, S Petrone
Statistics and Computing 31 (4), 47, 2021
202021
Locally adaptive factor processes for multivariate time series
D Durante, B Scarpa, DB Dunson
Journal of Machine Learning Research 15, 1493-1522, 2014
202014
Extended stochastic block models with application to criminal networks
S Legramanti, T Rigon, D Durante, DB Dunson
Annals of Applied Statistics 16 (4), 2369-2395, 2022
172022
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
152019
Scalable computation of predictive probabilities in probit models with Gaussian process priors
J Cao, D Durante, MG Genton
Journal of Computational and Graphical Statistics 31 (3), 709-720, 2022
142022
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20