Mathematical foundations of functional Kriging in Hilbert spaces and Riemannian manifolds

Alessandra Menafoglio , Davide Pigoli , Piercesare Secchi
Geostatistical Functional Data Analysis 27 -54

1
2022
O2S2 for the Geodata Deluge

Alessandra Menafoglio , Davide Pigoli , Piercesare Secchi
Functional and High-Dimensional Statistics and Related Fields 5 169 -176

2020
Kriging prediction for manifold-valued random fields

Alessandra Menafoglio , Piercesare Secchi , Davide Pigoli
Elsevier

2015
Statistical modeling and monitoring of geometrical deviations in complex shapes with application to additive manufacturing

Riccardo Scimone , Tommaso Taormina , Bianca Maria Colosimo , Marco Grasso
Technometrics 64 ( 4) 437 -456

10
2022
A look at the spatio-temporal mortality patterns in Italy during the COVID-19 pandemic through the lens of mortality densities

Riccardo Scimone , Alessandra Menafoglio , Laura M Sangalli , Piercesare Secchi
Spatial Statistics 49 100541 -100541

10
2022
A general bi-clustering algorithm for object data with an application to the analysis of a Lombardy railway line

Agostino Torti , Marta Galvani , Alessandra Menafoglio , Piercesare Secchi
International journal of approximate reasoning 142 161 -177

7
2022
Social and material vulnerability in the face of seismic hazard: An analysis of the Italian case

Oleksandr Didkovskyi , Giovanni Azzone , Alessandra Menafoglio , Piercesare Secchi
Journal of the Royal Statistical Society Series A: Statistics in Society 184 ( 4) 1549 -1577

5
2021
Physics-based Residual Kriging for dynamically evolving functional random fields

Riccardo Peli , Alessandra Menafoglio , Marianna Cervino , Laura Dovera
Stochastic Environmental Research and Risk Assessment 36 ( 10) 3063 -3080

2
2022
An object-oriented approach to the analysis of spatial complex data over stream-network domains

Chiara Barbi , Alessandra Menafoglio , Piercesare Secchi
Spatial Statistics 58 100784 -100784

2023
Spatial Statistics

Chiara Barbi , Alessandra Menafoglio , Piercesare Secchi ,

2023
The Death Process in Italy Before and During the Covid-19 Pandemic: a Functional Compositional Approach

Riccardo Scimone , Alessandra Menafoglio , Laura M Sangalli , Piercesare Secchi
Springer International Publishing 333 -341

2022
Geostatistical analysis in Bayes spaces: probability densities and compositional data

Alessandra Menafoglio , Piercesare Secchi , Alberto Guadagnini
Geostatistical Functional Data Analysis 104 -127

2022
Predicting Water Temperature Profiles in the Middle Fork River: a Geostatistical Approach for Functional Data Over a Stream Network Domain

Chiara Barbi , Alessandra Menafoglio , Piercesare Secchi
Sapienza University of Rome-Department of Statistics 87 -87

2021
Statistical control of complex geometries, with application to Additive Manufacturing

Riccardo Scimone , Tommaso Taormina , Bianca Maria Colosimo , Marco Grasso
Pearson Italia 869 -874

2020
Random domain decomposition for kriging non stationary object data

Giorgia Gaetani , Alessandra Menafoglio , Piercesare Secchi
STATISTICS AND DATA SCIENCE: NEW CHALLENGES, NEW GENERATIONS

2017
Kriging prediction for spatial random fields valued in a Hilbert space

Alessandra Menafoglio , Piercesare Secchi
Società Editrice Esculapio 191 -196

2014
2014
Supplementary material for: A Universal Kriging predictor for spatially dependent functional data of a Hilbert Space

Alessandra Menafoglio , Piercesare Secchi , Matilde Dalla Rosa
ELECTRONIC JOURNAL OF STATISTICS 1 -11

2013
A BLU predictor for spatially dependent functional data of a Hilbert space

Alessandra Menafoglio , M Dalla Rosa , Piercesare Secchi
322 -325

2013
A General Bi-clustering Algorithm for Hilbert Data: Analysis of the Lombardy Railway Service

Agostino Torti , Marta Galvani , Alessandra Menafoglio , Piercesare Secchi