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Daniele Durante
Daniele Durante
Associate Professor, Department of Decision Sciences, Bocconi University
Verified email at unibocconi.it - Homepage
Title
Cited by
Cited by
Year
Nonparametric Bayes modeling of populations of networks
D Durante, DB Dunson, JT Vogelstein
Journal of the American Statistical Association 112 (520), 1516-1530, 2017
1702017
Bayesian inference and testing of group differences in brain networks
D Durante, DB Dunson
Bayesian Analysis 13 (1), 29-58, 2018
1322018
Nonparametric Bayes dynamic modeling of relational data
D Durante, DB Dunson
Biometrika 101 (4), 883-898, 2014
1282014
Bayesian cumulative shrinkage for infinite factorizations
S Legramanti, D Durante, DB Dunson
Biometrika 107 (3), 745-752, 2020
772020
Conjugate Bayes for probit regression via unified skew-normal distributions
D Durante
Biometrika 106 (4), 765-779, 2019
692019
A note on the multiplicative gamma process
D Durante
Statistics & Probability Letters 122, 198-204, 2017
592017
Locally adaptive dynamic networks
D Durante, DB Dunson
Annals of Applied Statistics 10 (4), 2203-2232, 2016
532016
Conditionally conjugate mean-field variational Bayes for logistic models
D Durante, T Rigon
Statistical Science 34 (3), 472-485, 2019
482019
Tractable Bayesian density regression via logit stick-breaking priors
T Rigon, D Durante
Journal of Statistical Planning and Inference 211, 131-142, 2021
372021
Bayesian network–response regression
L Wang, D Durante, RE Jung, DB Dunson
Bioinformatics 33 (12), 1859-1866, 2017
372017
Bayesian dynamic financial networks with time-varying predictors
D Durante, DB Dunson
Statistics & Probability Letters 93, 19-26, 2014
352014
Scalable and accurate variational Bayes for high-dimensional binary regression models
A Fasano, D Durante, G Zanella
Biometrika 109 (4), 901-919, 2022
342022
Bayesian learning of dynamic multilayer networks
D Durante, N Mukherjee, RC Steorts
Journal of Machine Learning Research 18, 1-29, 2017
322017
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
312022
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
232022
Bayesian logistic Gaussian process models for dynamic networks
D Durante, D Dunson
Journal of Machine Learning Research Proceedings (AISTATS) 33, 194-201, 2014
222014
Locally adaptive factor processes for multivariate time series
D Durante, B Scarpa, DB Dunson
Journal of Machine Learning Research 15, 1493-1522, 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
Bayesian conjugacy in probit, tobit, multinomial probit and extensions: a review and new results
N Anceschi, A Fasano, D Durante, G Zanella
Journal of the American Statistical Association 118 (542), 1451-1469, 2023
172023
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
172019
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