Alessandra Menafoglio

发表

SUPP MATERIAL: Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data

Alessandra Menafoglio, Marco Grasso, Piercesare Secchi, 2018 .

Kriging for Hilbert-space valued random fields: The operatorial point of view

Alessandra Menafoglio, Giovanni Petris, G. Petris, 2016, J. Multivar. Anal..

A novel spatio-temporal clustering technique to study the bike sharing system in Lyon

Simone Vantini, Alessandra Menafoglio, Marta Galvani, 2020, EDBT/ICDT Workshops.

Object oriented spatial statistics for georeferenced tensor data

Alessandra Menafoglio, Piercesare Secchi, Davide Pigoli, 2018 .

A functional regression control chart for profile monitoring

Simone Vantini, Alessandra Menafoglio, Biagio Palumbo, 2018 .

Simplicial principal component analysis for density functions in Bayes spaces

Peter Filzmoser, Matthias Templ, Alessandra Menafoglio, 2016, Comput. Stat. Data Anal..

BarCamp: Technology Foresight and Statistics for the Future

Marzia A. Cremona, Alessia Pini, Francesca Ieva, 2015 .

A Bayes Hilbert Space for Compartment Model Computing in Diffusion MRI

Simon K. Warfield, Olivier Commowick, Alessandra Menafoglio, 2018, MICCAI.

O2S2 for the Geodata Deluge

Alessandra Menafoglio, Piercesare Secchi, Davide Pigoli, 2020 .

Random domain decompositions for object-oriented Kriging over complex domains

Alessandra Menafoglio, Piercesare Secchi, Giorgia Gaetani, 2018, Stochastic Environmental Research and Risk Assessment.

Control charts for monitoring ship operating conditions and CO 2 emissions based on scalar‐on‐function regression

Simone Vantini, Alessandra Menafoglio, Biagio Palumbo, 2020 .

Functional data analysis and classification for profile monitoring and fault diagnosis in waterjet machining processes

Alessandra Menafoglio, Piercesare Secchi, Bianca Maria Colosimo, 2013 .

Functional Regression Control Chart

Simone Vantini, Alessandra Menafoglio, Biagio Palumbo, 2020, Technometrics.

Kriging prediction for manifold-valued random fields

Alessandra Menafoglio, Piercesare Secchi, Davide Pigoli, 2016, J. Multivar. Anal..

Compositional regression with functional response

Alessandra Menafoglio, Karel Hron, Jitka Machalová, 2018, Comput. Stat. Data Anal..

A novel downscaling procedure for compositional data in the Aitchison geometry with application to soil texture data

Davide Brambilla, Laura Longoni, Monica Papini, 2020, Stochastic Environmental Research and Risk Assessment.

Statistical analysis of complex and spatially dependent data: A review of Object Oriented Spatial Statistics

Alessandra Menafoglio, Piercesare Secchi, P. Secchi, 2017, Eur. J. Oper. Res..

Using Curve-Registration Information for Profile Monitoring

Alessandra Menafoglio, Piercesare Secchi, Bianca Maria Colosimo, 2016 .

Simulation of seismic ground motion fields via object-oriented spatial statistics with an application in Northern Italy

Francesca Pacor, Alessandra Menafoglio, Giovanni Lanzano, 2020, Stochastic Environmental Research and Risk Assessment.

A new class of $\alpha$-transformations for the spatial analysis of Compositional Data

Alessandra Menafoglio, Denis Allard, Lucia Clarotto, 2021 .

FunCC: A new bi-clustering algorithm for functional data with misalignment

Simone Vantini, Alessandra Menafoglio, Marta Galvani, 2021, Comput. Stat. Data Anal..

Spatial Statistics for Distributional Data in Bayes Spaces: From Object-Oriented Kriging to the Analysis of Warping Functions

Alessandra Menafoglio, 2021, Advances in Compositional Data Analysis.

Functional regression control chart for monitoring ship CO 2$_{2}$ emissions

Simone Vantini, Alessandra Menafoglio, Biagio Palumbo, 2021, Qual. Reliab. Eng. Int..

Statistical modeling and monitoring of geometrical deviations in complex shapes with application to Additive Manufacturing

Alessandra Menafoglio, Piercesare Secchi, Bianca Maria Colosimo, 2021 .

Robust Functional ANOVA with Application to Additive Manufacturing

Simone Vantini, Alessandra Menafoglio, Bianca Maria Colosimo, 2021, 2112.10643.

Logratio Approach to Distributional Modeling

Peter Filzmoser, Alessandra Menafoglio, Karel Hron, 2021, Advances in Contemporary Statistics and Econometrics.

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

Alessandra Menafoglio, Piercesare Secchi, Giovanni Azzone, 2021, Journal of the Royal Statistical Society: Series A (Statistics in Society).

A Universal Kriging predictor for spatially dependent functional data of a Hilbert Space

Alessandra Menafoglio, Piercesare Secchi, Matilde Dalla Rosa, 2013 .

A Class-Kriging Predictor for Functional Compositions with Application to Particle-Size Curves in Heterogeneous Aquifers

Alberto Guadagnini, Alessandra Menafoglio, Piercesare Secchi, 2016, Mathematical Geosciences.

A kriging approach based on Aitchison geometry for the characterization of particle-size curves in heterogeneous aquifers

Alberto Guadagnini, Alessandra Menafoglio, Piercesare Secchi, 2014, Stochastic Environmental Research and Risk Assessment.

Cokriging for multivariate Hilbert space valued random fields: application to multi-fidelity computer code emulation

Jef Caers, Ognjen Grujic, Alessandra Menafoglio, 2018, Stochastic Environmental Research and Risk Assessment.

Stochastic simulation of soil particle‐size curves in heterogeneous aquifer systems through a Bayes space approach

Alberto Guadagnini, Alessandra Menafoglio, Piercesare Secchi, 2016 .

O2S2: A new venue for computational geostatistics

Alessandra Menafoglio, Piercesare Secchi, P. Secchi, 2019, Applied Computing and Geosciences.

Universal Kriging of functional data: Trace-variography vs cross-variography? Application to gas forecasting in unconventional shales

Jef Caers, Ognjen Grujic, Alessandra Menafoglio, 2016 .