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Riccardo Rastelli
Riccardo Rastelli
Assistant Professor, University College Dublin
Verified email at ucd.ie - Homepage
Title
Cited by
Cited by
Year
Interlocking directorates in Irish companies using a latent space model for bipartite networks
N Friel, R Rastelli, J Wyse, AE Raftery
Proceedings of the National Academy of Sciences 113 (24), 6629-6634, 2016
742016
Properties of latent variable network models
R Rastelli, N Friel, AE Raftery
Network Science 4 (4), 407-432, 2016
522016
Choosing the number of clusters in a finite mixture model using an exact integrated completed likelihood criterion
M Bertoletti, N Friel, R Rastelli
Metron 73 (2), 177-199, 2015
432015
Optimal Bayesian estimators for latent variable cluster models
R Rastelli, N Friel
Statistics and Computing 28 (6), 1169-1186, 2018
272018
Choosing the number of groups in a latent stochastic blockmodel for dynamic networks
R Rastelli, P Latouche, N Friel
Network Science 6 (4), 469-493, 2018
172018
Computationally efficient inference for latent position network models
R Rastelli, F Maire, N Friel
arXiv preprint arXiv:1804.02274, 2018
122018
Exact integrated completed likelihood maximisation in a stochastic block transition model for dynamic networks
R Rastelli
Journal de la société française de statistique 160 (1), 35-56, 2019
102019
Measuring systemic risk and contagion in the European financial network
L Tafakori, A Pourkhanali, R Rastelli
Empirical Economics 63 (1), 345-389, 2022
52022
A stochastic block model for interaction lengths
R Rastelli, M Fop
Advances in Data Analysis and Classification 14 (2), 485-512, 2020
52020
A model-based approach to assess epidemic risk
H Dolan, R Rastelli
Statistics in biosciences 14 (3), 452-484, 2022
22022
The sparse latent position model for nonnegative weighted networks
R Rastelli
arXiv preprint arXiv:1808.09262, 2018
22018
Choosing the number of components in a finite mixture model using an exact Integrated Completed Likelihood criteria
M Bertoletti, N Friel, R Rastelli
arXiv preprint arXiv:1411.4257, 2014
22014
Continuous Latent Position Models for Instantaneous Interactions
R Rastelli, M Corneli
arXiv preprint arXiv:2103.17146, 2021
12021
A dynamic network model to measure exposure diversification in the Austrian interbank market
J Hledik, R Rastelli
arXiv preprint arXiv:1804.01367, 2018
12018
Continuous Latent Position Models for Instantaneous Interactions
M Corneli, R Rastelli
2022
Graphical Laplace-approximated maximum likelihood estimation: approximated likelihood inference for network data analysis
C Jiang, D La Vecchia, R Rastelli
arXiv preprint arXiv:2107.05915, 2021
2021
A dynamic stochastic blockmodel for interaction lengths
R Rastelli, M Fop
arXiv preprint arXiv:1901.09828, 2019
2019
Discussion of the article" Bayesian cluster analysis: point estimation and credible balls" by Wade and Ghahramani
N Friel, R Rastelli
arXiv preprint arXiv:1804.02461, 2018
2018
Astochastic BLOCKMODEL FOR NETWORK INTERACTION LENGTHS OVER CONTINUOUS TIME
R Rastelli, M Fop
Book of Short Papers, 399, 0
Advances in latent space modelling of dynamic random graphs
R Rastelli
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