| 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 | 43 | 2016 |
| Properties of latent variable network models R Rastelli, N Friel, AE Raftery arXiv preprint arXiv:1506.07806, 2015 | 37 | 2015 |
| 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 | 24 | 2015 |
| Optimal Bayesian estimators for latent variable cluster models R Rastelli, N Friel Statistics and computing 28 (6), 1169-1186, 2018 | 14 | 2018 |
| 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 | 9 | 2018 |
| Computationally efficient inference for latent position network models R Rastelli, F Maire, N Friel arXiv preprint arXiv:1804.02274, 2018 | 5 | 2018 |
| Exact integrated completed likelihood maximisation in a stochastic block transition model for dynamic networks R Rastelli arXiv preprint arXiv:1710.03551, 2017 | 4 | 2017 |
| Exact integrated completed likelihood maximisation in a stochastic block transition model for dynamic networks R Rastelli J French Stat Soc 160 (1), 35-56, 2019 | 3 | 2019 |
| The Sparse Latent Position Model for nonnegative weighted networks R Rastelli arXiv preprint arXiv:1808.09262, 2018 | 2 | 2018 |
| 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 | 2 | 2014 |
| A dynamic network model to measure exposure diversification in the Austrian interbank market J Hledik, R Rastelli ESRB Working Paper Series, 2020 | 1 | 2020 |
| A model-based approach to assess epidemic risk H Dolan, R Rastelli arXiv preprint arXiv:2009.12964, 2020 | | 2020 |
| A stochastic block model for interaction lengths R Rastelli, M Fop Advances in Data Analysis and Classification 14 (2), 485-512, 2020 | | 2020 |
| Measuring systemic risk and contagion in the European financial network L Tafakori, A Pourkhanali, R Rastelli arXiv preprint arXiv:1911.11488, 2019 | | 2019 |
| 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 |
| Advances in latent space modelling of dynamic random graphs R Rastelli | | |
| A latent variable model to measure exposure diversification in the Austrian interbank market J Hledik, R Rastelli | | |
| Advances in latent space representations of dynamic random graphs R Rastelli | | |
| Degree distributions for latent space models in social network analysis R Rastelli, N Friel CASI 2014, 61, 0 | | |
Nial FrielProfessor of Statistics, University College Dublin, COSTNET CA15109Bestätigte E-Mail-Adresse bei ucd.ie
