108 citations · 564 across the 27 of their papers we have counts for
6 papers · 1 filter
Learning and forecasting of age-specific period mortality via B-spline processes with locally-adaptive dynamic coefficients
Federico Pavone, Sirio Legramanti, Daniele Durante
Although the analysis of human mortality has a well-established history, the attempt to accurately forecast future death-rate patterns for different age groups and time horizons st…
Unifying inference on brain network variations in neurological diseases: The Alzheimer's case
Daniele Durante, Madelaine Daianu, Neda Jahanshad +2
There is growing interest in understanding how the structural interconnections among brain regions change with the occurrence of neurological diseases. Diffusion weighted MRI imagi…
Bayesian modeling of networks in complex business intelligence problems
Daniele Durante, Sally Paganin, Bruno Scarpa +1
Complex network data problems are increasingly common in many fields of application. Our motivation is drawn from strategic marketing studies monitoring customer choices of specifi…
Locally Adaptive Dynamic Networks
Daniele Durante, David B. Dunson
Our focus is on realistically modeling and forecasting dynamic networks of face-to-face contacts among individuals. Important aspects of such data that lead to problems with curren…
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…
Locally adaptive factor processes for multivariate time series
Daniele Durante, Bruno Scarpa, David B. Dunson
In modeling multivariate time series, it is important to allow time-varying smoothness in the mean and covariance process. In particular, there may be certain time intervals exhibi…