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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
Simone Panzeri
PhD Student (M3E)
Contact Information
Phone:
+39 02 2399 4594
Fax:
+39 02 2399
Office:
14 (Nave)
Email:
Keywords
Statistical learning
Publications
Available MOX Reports
PANZERI, S.; CLEMENTE, A.; ARNONE, E.; MATEU, J.; SANGALLI, L.M.
Spatio-Temporal Intensity Estimation for Inhomogeneous Poisson Point Processes on Linear Networks: A Roughness Penalty Method
PANZERI, L.; FUMAGALLI, A.; LONGONI, L.; PAPINI, M.; DIEGO, A.
Sensitivity analysis with a 3D mixed-dimensional code for DC geoelectrical investigations of landfills: synthetic tests
BEGU, B.; PANZERI, S.; ARNONE, E.; CAREY, M.; SANGALLI, L.M.
A nonparametric penalized likelihood approach to density estimation of space-time point patterns