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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