Daniele Durante

13 papers A 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Analysis of Cassini Altimetric Crossovers on Titan.
Remote. Sens.
Daniele Durante, Marco Mastrogiuseppe, Elisa Carli, Valerio Poggiali, Andrea di Ruscio, Virginia Notaro, Luciano Iess
2024 J jnl
Conjugacy properties of multivariate unified skew-elliptical distributions.
J. Multivar. Anal.
Maicon J. Karling, Daniele Durante, Marc G. Genton
2022 J jnl
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One.
J. Mach. Learn. Res.
Augusto Fasano, Daniele Durante
2022 J jnl
Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors.
J. Comput. Graph. Stat.
Jian Cao, Daniele Durante, Marc G. Genton
2021 J jnl
A closed-form filter for binary time series.
Stat. Comput.
Augusto Fasano, Giovanni Rebaudo, Daniele Durante, Sonia Petrone
2020 J jnl
Report on First Inflight Data of BepiColombo's Mercury Orbiter Radio Science Experiment.
IEEE Trans. Aerosp. Electron. Syst.
Paolo Cappuccio, Virginia Notaro, Andrea di Ruscio, Luciano Iess, Antonio Genova, Daniele Durante, Ivan di Stefano, Sami W. Asmar, Sabatino Ciarcia, Lorenzo Simone
2019 J jnl
Spatial modeling of brain connectivity data via latent distance models with nodes clustering.
Stat. Anal. Data Min.
Emanuele Aliverti, Daniele Durante
2018 J jnl
Bayesian inference on group differences in multivariate categorical data.
Comput. Stat. Data Anal.
Massimiliano Russo, Daniele Durante, Bruno Scarpa
2017 J jnl
Bayesian Learning of Dynamic Multilayer Networks.
J. Mach. Learn. Res.
Daniele Durante, Nabanita Mukherjee, Rebecca C. Steorts
2017 J jnl
Bayesian network-response regression.
Bioinform.
Lu Wang, Daniele Durante, Rex E. Jung, David B. Dunson
2014 A conf
Bayesian Logistic Gaussian Process Models for Dynamic Networks.
AISTATS
Daniele Durante, David B. Dunson
2014 J jnl
Locally adaptive factor processes for multivariate time series.
J. Mach. Learn. Res.
Daniele Durante, Bruno Scarpa, David B. Dunson
2013 — conf
Locally Adaptive Bayesian Multivariate Time Series.
NIPS
Daniele Durante, Bruno Scarpa, David B. Dunson