Daniele Durante

According to our database, Daniele Durante authored at least 13 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Analysis of Cassini Altimetric Crossovers on Titan.

Daniele Durante, Marco Mastrogiuseppe, Elisa Carli, Valerio Poggiali, Andrea di Ruscio, Virginia Notaro, Luciano Iess

Remote. Sens., June, 2024

Conjugacy properties of multivariate unified skew-elliptical distributions.

Maicon J. Karling, Daniele Durante, Marc G. Genton

J. Multivar. Anal., 2024

2022

Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors.

Jian Cao, Daniele Durante, Marc G. Genton

J. Comput. Graph. Stat., July, 2022

A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One.

Augusto Fasano, Daniele Durante

J. Mach. Learn. Res., 2022

2021

A closed-form filter for binary time series.

Augusto Fasano, Giovanni Rebaudo, Daniele Durante, Sonia Petrone

Stat. Comput., 2021

2020

Report on First Inflight Data of BepiColombo's Mercury Orbiter Radio Science Experiment.

Paolo Cappuccio, Virginia Notaro, Andrea di Ruscio, Luciano Iess, Antonio Genova, Daniele Durante, Ivan di Stefano, Sami W. Asmar, Sabatino Ciarcia, Lorenzo Simone

IEEE Trans. Aerosp. Electron. Syst., 2020

2019

Spatial modeling of brain connectivity data via latent distance models with nodes clustering.

Emanuele Aliverti, Daniele Durante

Stat. Anal. Data Min., 2019

2018

Bayesian inference on group differences in multivariate categorical data.

Massimiliano Russo, Daniele Durante, Bruno Scarpa

Comput. Stat. Data Anal., 2018

2017

Bayesian Learning of Dynamic Multilayer Networks.

Daniele Durante, Nabanita Mukherjee, Rebecca C. Steorts

J. Mach. Learn. Res., 2017

Bayesian network-response regression.

Lu Wang, Daniele Durante, Rex E. Jung, David B. Dunson

Bioinform., 2017

2014

Locally adaptive factor processes for multivariate time series.

Daniele Durante, Bruno Scarpa, David B. Dunson

J. Mach. Learn. Res., 2014

Bayesian Logistic Gaussian Process Models for Dynamic Networks.

Daniele Durante, David B. Dunson

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Locally Adaptive Bayesian Multivariate Time Series.

Daniele Durante, Bruno Scarpa, David B. Dunson

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013