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People
RESEARCH & INNOVATION
Research Areas
FUNDED PROJECTS
Reports and books
Education
Computational Science & Computational Learning (CSCL)
Statistical Learning (STAT)
DISSEMINATION
Mox Colloquia
MOX SEMINARS
Conferences and Workshops
Societal Outreach
Media
News
PRESS
YouTube Channel
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Staff details
Matteo Pegoraro
Post-doctoral Research Fellow
Contact Information
Phone:
+39 02 2399 4594
Fax:
+39 02 2399
Office:
Ed. 14 - Nave
Email:
Keywords
Statistical learning
Available MOX Reports
DOMANIN D. A.; PEGORARO M.; TRIMARCHI S.; DOMANIN M.; SECCHI P.
Persistence diagrams for exploring the shape variability of abdominal aortic aneurysms
CAVINATO, L.; PEGORARO, M.; RAGNI, A.; IEVA, F.
Imaging-based representation and stratification of intra-tumor Heterogeneity via tree-edit distance
PEGORARO, M.; BERAHA, M.
Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
BERAHA, M.; PEGORARO, M.; PELI, R.; GUGLIELMI, A
Spatially dependent mixture models via the Logistic Multivariate CAR prior