| Projected statistical methods for distributional data on the real line with the Wasserstein metric M Pegoraro, M Beraha Journal of Machine Learning Research 23 (37), 1-59, 2022 | 17 | 2022 |
| Spatially dependent mixture models via the logistic multivariate CAR prior M Beraha, M Pegoraro, R Peli, A Guglielmi Spatial Statistics 46, 100548, 2021 | 6 | 2021 |
| Wasserstein principal component analysis for circular measures M Beraha, M Pegoraro Statistics and Computing 34 (5), 171, 2024 | 4 | 2024 |
| Imaging-based representation and stratification of intra-tumor heterogeneity via tree-edit distance L Cavinato, M Pegoraro, A Ragni, M Sollini, PA Erba, F Ieva Scientific reports 12 (1), 19607, 2022 | 4 | 2022 |
| Functional data representation with merge trees M Pegoraro, P Secchi arXiv preprint arXiv:2108.13147, 2021 | 4 | 2021 |
| Fast pca in 1-d wasserstein spaces via b-splines representation and metric projection M Pegoraro, M Beraha Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9342-9349, 2021 | 3 | 2021 |
| A locally stable edit distance for merge trees M Pegoraro arXiv preprint arXiv:2111.02738, 2021 | 2* | 2021 |
| A locally stable edit distance for functions defined on merge trees M Pegoraro arXiv preprint arXiv:2108.13108, 2021 | 2* | 2021 |
| Persistence diagrams for exploring the shape variability of abdominal aortic aneurysms DA Domanin, M Pegoraro, S Trimarchi, M Domanin, P Secchi arXiv preprint arXiv:2402.07966, 2024 | | 2024 |
| Sliced Max-Flow on Circular Mapper Graphs M Pegoraro, L Fajstrup arXiv preprint arXiv:2312.04357, 2023 | | 2023 |
| A Persistence-Driven Edit Distance for Graphs with Abstract Weights M Pegoraro arXiv preprint arXiv:2304.12088, 2023 | | 2023 |
| Data analysis with merge trees M Pegoraro alma, 2023 | | 2023 |
| A Graph-Matching Formulation of the Interleaving Distance between Merge Trees M Pegoraro arXiv preprint arXiv:2111.15531, 2021 | | 2021 |
| A transdimensional MCMC sampler for spatially dependent mixture models A Guglielmi, M Beraha, M Gianella, M Pegoraro, R Peli CLADAG 2021-Book of abstracts and short papers-ISSN 2704-5846 (ONLINE, 112-115, 2021 | | 2021 |
| Geometric data analysis: between equivalence classes and non-euclidean spaces M Pegoraro | | 2020 |
| A Bayesian model to induce dependence between mixtures M Beraha, M Pegoraro, R Peli, A Guglielmi {Book of Short Papers-SIS 2020, 608-613, 2020 | | 2020 |
Mario BerahaDepartment of Mathematics, Politecnico di Milano在 polimi.it 的电子邮件经过验证
Mario BerahaDepartment of Mathematics, Politecnico di Milano在 polimi.it 的电子邮件经过验证
Piercesare SecchiProfessor of Statistics在 polimi.it 的电子邮件经过验证