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DANIELE DURANTE

DANIELE DURANTE
Assistant Professor
Department of Decision Sciences

Courses previous a.y.

Biographical note

I am an Assistant Professor of Statistics in the Department of Decision Sciences at Bocconi University. Prior to joining Bocconi in 2017, I was a Post-Doctoral Fellow at the University of Padova, where I obtained a Ph.D. [2016] and an M.Sc. [2012] in Statistics under the supervision of Professor Bruno Scarpa and the co-supervision of Professor David B. Dunson. During my Ph.D. experience, I have been a Visiting Research Scholar [2014-2015] at Duke University [USA]. I am an Associate Editor of Biometrika and of the Journal of Computational and Graphical Statistics.


About

See the Personal Webpage https://danieledurante.github.io/web/ and the Google Scholar Page https://scholar.google.co.uk/citations?user=xw4WYD4AAAAJ&hl=en for an updated list of working papers and publications


Research interests

My research is characterized by an interdisciplinary approach at the intersection of Bayesian methodology, modern applications and statistical learning to develop rigorous probabilistic representations which combine flexibility, computational tractability and interpretability in modeling complex, high-dimensional and network-related phenomena. For my research I have been awarded the Laplace Prize, the Byar Award, the Mitchell Prize, the Ph.D. Thesis Award in Statistics, the Leonardo da Vinci Medal and the Early-Career Scholar Award for Contributions to the Statistical Sciences, among others.


Selected Publications

Rigon, Tommaso; Durante, Daniele
Tractable Bayesian density regression via logit stick-breaking priors
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2021

Fasano, Augusto; Rebaudo, Giovanni; Durante, Daniele; Petrone, Sonia
A closed-form filter for binary time series
STATISTICS AND COMPUTING, 2021

Legramanti, Sirio; Durante, Daniele; Dunson, David B
Bayesian cumulative shrinkage for infinite factorizations
BIOMETRIKA, 2020

Aliverti, Emanuele; Durante, Daniele
Spatial modeling of brain connectivity data via latent distance models with nodes clustering
STATISTICAL ANALYSIS AND DATA MINING, 2019

Durante, Daniele; Canale, Antonio; Rigon, Tommaso
A nested expectation-maximization algorithm for latent class models with covariates
STATISTICS & PROBABILITY LETTERS, 2019

Durante, Daniele; Dunson, David B.
Bayesian inference and testing of group differences in brain networks
BAYESIAN ANALYSIS, 2018


Durante, Daniele; Rigon, Tommaso
Conditionally conjugate mean-field variational Bayes for logistic models
STATISTICAL SCIENCE, 2019

Canale, Antonio; Durante, Daniele; Paci, Lucia; Scarpa, Bruno
Connecting statistical brains
SIGNIFICANCE, 2018

Canale, Antonio; Durante, Daniele; Dunson, David B.
Convex mixture regression for quantitative risk assessment
BIOMETRICS, 2018

Russo, Massimiliano; Durante, Daniele; Scarpa, Bruno
Bayesian inference on group differences in multivariate categorical data
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2018