Alessandra Menafoglio

Associate Professor
Ricercatore (Assistant Professor)

Contact Information

Phone:
+39 02 2399 4642
Fax:
+39 02 2399
Office:
Ed. 14 - Nave
Email:

Keywords

Statistical learning

Publications

    

Available MOX Reports

PELI, R.; DOVERA, L.; FIGHERA, G.; MENAFOGLIO, A.; SECCHI, P.
Forecasting Oil Production Rates in Primary Depletion using the Physics-based Residual Kriging functional approach
BARBI, C.; MENAFOGLIO, A; SECCHI, P.
An object-oriented approach to the analysis of spatial complex data over stream-network domains
BORTOLOTTI, T; PELI, R.; LANZANO, G; SGOBBA, S.; MENAFOGLIO, A
Weighted functional data analysis for the calibration of ground motion models in Italy
CLAROTTO, L; ALLARD, D.; MENAFOGLIO, A.
A new class of alpha-transformations for the spatial analysis of Compositional Data
BONAVENTURA, L.; GATTI F.; MENAFOGLIO A.; ROSSI D.; BRAMBILLA D.; PAPINI M.; LONGONI L.
An efficient and robust soil erosion model at the basin scale
SCIMONE, R.; MENAFOGLIO, A.; SANGALLI, L.M.; SECCHI, P.
A look at the spatio-temporal mortality patterns in Italy during the COVID-19 pandemic through the lens of mortality densities
SCIMONE, R.; TAORMINA, T.; COLOSIMO, B. M.; GRASSO, M.; MENAFOGLIO, A.; SECCHI, P.
Statistical modeling and monitoring of geometrical deviations in complex shapes with application to Additive Manufacturing
TORTI, A.; GALVANI, M.; MENAFOGLIO, A.; SECCHI, P.; VANTINI S.
A General Bi-clustering Algorithm for Hilbert Data: Analysis of the Lombardy Railway Service
PELI, R.; MENAFOGLIO, A.; CERVINO, M.; DOVERA, L.; SECCHI, P;
Physics-based Residual Kriging for dynamically evolving functional random fields
HRON, K.; MACHALOVA, J.; MENAFOGLIO, A.
Bivariate densities in Bayes spaces: orthogonal decomposition and spline representation
CENTOFANTI, F.; LEPORE, A.; MENAFOGLIO, A.; PALUMBO, B.; VANTINI, S.
Functional Regression Control Chart
GALVANI, M.; TORTI, A.; MENAFOGLIO, A.; VANTINI S.
FunCC: a new bi-clustering algorithm for functional data with misalignment
CARAMENTI, L.; MENAFOGLIO, A.; SGOBBA, S.; LANZANO, G.
Multi-Source Geographically Weighted Regression for Regionalized Ground-Motion Models
DIDKOVSKY, O.; IVANOV, V.; PAPINI, M.; LONGONI, L.; MENAFOGLIO, A.
A comparison between machine learning and functional geostatistics approaches for data-driven analyses of solid transport in a pre-Alpine stream
GATTI, F.; MENAFOGLIO, A.; TOGNI, N.; BONAVENTURA, L.; BRAMBILLA, D.; PAPINI, M; LONGONI, L.
A novel dowscaling procedure for compositional data in the Aitchison geometry with application to soil texture data
MENAFOGLIO, A.; SGOBBA, S.; LANZANO, G.; PACOR, F.
Simulation of seismic ground motion fields via object-oriented spatial statistics: a case study in Northern Italy
BERNARDI, M.S.; AFRICA, P.C.; DE FALCO, C.; FORMAGGIA, L.; MENAFOGLIO, A.; VANTINI, S.
On the Use of Interfeometric Synthetic Aperture Radar Data for Monitoring and Forecasting Natural Hazards
DIDKOVSKYI, O.; AZZONE, G.; MENAFOGLIO A.; SECCHI P.
Social and material vulnerability in the face of seismic hazard: an analysis of the Italian case
MENAFOGLIO, A.; SECCHI, P.
O2S2: a new venue for computational geostatistics
CAPEZZA, C.; LEPORE, A.; MENAFOGLIO, A.; PALUMBO, B.; VANTINI, S.
Control charts for monitoring ship operating conditions and CO2 emissions based on scalar-on-function regression
MENAFOGLIO, A.; PIGOLI, D.; SECCHI, P.
Kriging Riemannian Data via Random Domain Decompositions
MENAFOGLIO, A.; GAETANI, G.; SECCHI, P.
Random Domain Decompositions for object-oriented Kriging over complex domains
MENAFOGLIO, A.; GRASSO, M.; SECCHI, P.; COLOSIMO, B.M.
Profile Monitoring of Probability Density Functions via Simplicial Functional PCA with application to Image Data
GRUJIC, O.; MENAFOGLIO, A.; GUANG, Y.; CAERS, J.
Cokriging for multivariate Hilbert space valued random fields. Application to multifidelity computer code emulation
TALSKA, R.; MENAFOGLIO, A.; MACHALOVA, J.; HRON, K.; FISEROVA, E.
Compositional regression with functional response
MENAFOGLIO, A.; HRON, K.; FILZMOSER, P.
Logratio approach to distributional modeling
MENAFOGLIO, A.; SECCHI, P.
Statistical analysis of complex and spatially dependent data: a review of Object Oriented Spatial Statistics
MENAFOGLIO, A.; GUADAGNINI, A.; SECCHI, P.
Stochastic Simulation of Soil Particle-Size Curves in Heterogeneous Aquifer Systems through a Bayes space approach
MENAFOGLIO, A; GRUJIC, O.; CAERS, J.
Universal kriging of functional data: trace-variography vs cross-variography? Application to forecasting in unconventional shales
GRASSO, M.; MENAFOGLIO, A.; COLOSIMO, B.M.; SECCHI, P.
Using Curve Registration Information for Profile Monitoring
MENAFOGLIO, A.; PETRIS, G.
Kriging for Hilbert-space valued random fields: the Operatorial point of view
MENAFOGLIO, A.; SECCHI, P.; GUADAGNINI, A.
A Class-Kriging predictor for Functional Compositions with Application to Particle-Size Curves in Heterogeneous Aquifers
HRON, K.; MENAFOGLIO, A.; TEMPL, M.; HRUZOVA K.; FILZMOSER, P.
Simplicial principal component analysis for density functions in Bayes spaces
PIGOLI, D.; MENAFOGLIO, A.; SECCHI, P.
Kriging prediction for manifold-valued random field
MENAFOGLIO, A; GUADAGNINI, A; SECCHI, P
A Kriging Approach based on Aitchison Geometry for the Characterization of Particle-Size Curves in Heterogeneous Aquifers
MENAFOGLIO, A.; DALLA ROSA, M.; SECCHI, P.
A Universal Kriging predictor for spatially dependent functional data of a Hilbert Space