108 citations · 564 across the 27 of their papers we have counts for
4 papers · 1 filter
Bayesian Inference and Testing of Group Differences in Brain Networks
Daniele Durante, David B. Dunson
Network data are increasingly collected along with other variables of interest. Our motivation is drawn from neurophysiology studies measuring brain connectivity networks for a sam…
Nonparametric Bayes Modeling of Populations of Networks
Daniele Durante, David B. Dunson, Joshua T. Vogelstein
Replicated network data are increasingly available in many research fields. In connectomic applications, inter-connections among brain regions are collected for each patient under…
Bayesian semiparametric modelling of contraceptive behavior in India via sequential logistic regressions
Tommaso Rigon, Daniele Durante, Nicola Torelli
Family planning has been characterized by highly different strategic programs in India, including method-specific contraceptive targets, coercive sterilization, and more recent tar…
Bayesian dynamic financial networks with time-varying predictors
Daniele Durante, David B. Dunson
We propose a Bayesian nonparametric model including time-varying predictors in dynamic network inference. The model is applied to infer the dependence structure among financial mar…