Latent space modelling of multidimensional networks with application to the exchange of votes in Eurovision song contest S D’Angelo, TB Murphy, M Alfò | 35 | 2019 |
Combining biomarker and food intake data: calibration equations for citrus intake D Silvia, IC Gormley, BA McNulty, AP Nugent, J Walton, A Flynn, ... The American Journal of Clinical Nutrition 110 (4), 977-983, 2019 | 16 | 2019 |
A network approach to studying cause-of-death interrelations V Egidi, MA Salvatore, G Rivellini, S D’Angelo Demographic Research 38, 373-400, 2018 | 16 | 2018 |
Modeling node heterogeneity in latent space models for multidimensional networks S D'Angelo, M Alfò, T Brendan Murphy Statistica Neerlandica 74 (3), 324-341, 2020 | 10 | 2020 |
Model-based clustering for multidimensional social networks S D’Angelo, M Alfò, M Fop Journal of the Royal Statistical Society Series A: Statistics in Society 186 …, 2023 | 6 | 2023 |
Node-specific effects in latent space modelling of multidimensional networks S D’Angelo, M Alfò, TB Murphy arXiv preprint arXiv:1807.03874, 2018 | 6 | 2018 |
Model-based clustering for multivariate networks S D’Angelo, M Alfò, M Fop arXiv preprint arXiv:2001.05260, 2020 | 5 | 2020 |
multiMarker: software for modelling and prediction of continuous food intake using multiple biomarkers measurements S D’Angelo, IC Gormley, AE McNamara, L Brennan BMC bioinformatics 22, 1-9, 2021 | 3 | 2021 |
Inferring food intake from multiple biomarkers using a latent variable model S D’Angelo, L Brennan, IC Gormley The Annals of Applied Statistics 15 (4), 2043-2060, 2021 | 2 | 2021 |
Latent space models for multidimensional network data S D'Angelo Università degli Studi di Roma" La Sapienza", 2019 | 2 | 2019 |
Understanding Dependency Patterns in Structural and Functional Brain Connectivity Through fMRI and DTI Data M Crispino, S D’Angelo, S Ranciati, A Mira Studies in Neural Data Science: StartUp Research 2017, Siena, Italy, June 25 …, 2018 | 1 | 2018 |
Combining biomarker and food intake data IC Gormley, S D'Angelo, L Brennan Wiley, 2022 | | 2022 |
Inferring food intake from multiple biomarkers using a latent variable model L Brennan, S D'Angelo, IC Gormley Institute of Mathematical Statistics, 2021 | | 2021 |
SENDER AND RECEIVER EFFECTS IN LATENT SPACE S D’Angelo CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS: 13th Scientific Meeting of …, 2021 | | 2021 |
La complessa interrelazione tra le cause di morte in età anziana V Egidi, S Antonio, G Rivellini, DA Silvia Neodemos, 1-1, 2018 | | 2018 |
A Latent Space Model for Multidimensional Networks S D'Angelo, M Alfo, TB Murphy | | 2017 |
Choosing the number of components in finite mixture models: An" exact" criterion S D'Angelo | | 2016 |
Latent Space Modeling for Multiplex Data S D'Angelo, M Alfo, TB Murphy | | 2016 |
Volume 38-Article 16| Pages 373–400 A network approach to studying cause-of-death interrelations V Egidi, MA Salvatore, G Rivellini, S D'Angelo | | |
Alatent SPACE MODEL FOR CLUSTERING IN MULTIPLEX DATA S D’Angelo, M Fop Book of Short Papers, 146, 0 | | |