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Daniele Durante
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2020 – today
- 2024
- [j11]Maicon J. Karling
, Daniele Durante, Marc G. Genton:
Conjugacy properties of multivariate unified skew-elliptical distributions. J. Multivar. Anal. 204: 105357 (2024) - [j10]Daniele Durante
Analysis of Cassini Altimetric Crossovers on Titan. Remote. Sens. 16(12): 2209 (2024) - 2022
- [j9]Jian Cao
Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors. J. Comput. Graph. Stat. 31(3): 709-720 (2022) - [j8]Augusto Fasano, Daniele Durante:
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One. J. Mach. Learn. Res. 23: 30:1-30:26 (2022) - 2021
- [j7]Augusto Fasano
A closed-form filter for binary time series. Stat. Comput. 31(4): 47 (2021) - 2020
- [j6]Paolo Cappuccio
Report on First Inflight Data of BepiColombo's Mercury Orbiter Radio Science Experiment. IEEE Trans. Aerosp. Electron. Syst. 56(6): 4984-4988 (2020)
2010 – 2019
- 2019
- [j5]Emanuele Aliverti
Spatial modeling of brain connectivity data via latent distance models with nodes clustering. Stat. Anal. Data Min. 12(3): 185-196 (2019) - 2018
- [j4]Massimiliano Russo
Bayesian inference on group differences in multivariate categorical data. Comput. Stat. Data Anal. 126: 136-149 (2018) - 2017
- [j3]Lu Wang, Daniele Durante
Bayesian network-response regression. Bioinform. 33(12): 1859-1866 (2017) - [j2]Daniele Durante, Nabanita Mukherjee, Rebecca C. Steorts:
Bayesian Learning of Dynamic Multilayer Networks. J. Mach. Learn. Res. 18: 43:1-43:29 (2017) - 2014
- [j1]Daniele Durante, Bruno Scarpa, David B. Dunson:
Locally adaptive factor processes for multivariate time series. J. Mach. Learn. Res. 15(1): 1493-1522 (2014) - [c2]Daniele Durante, David B. Dunson:
Bayesian Logistic Gaussian Process Models for Dynamic Networks. AISTATS 2014: 194-201 - 2013
- [c1]Daniele Durante, Bruno Scarpa, David B. Dunson:
Locally Adaptive Bayesian Multivariate Time Series. NIPS 2013: 1664-1672
Coauthor Index
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