| A Universal Kriging predictor for spatially dependent functional data of a Hilbert Space A Menafoglio, P Secchi, M Dalla Rosa | 149 | 2013 |
| Simplicial principal component analysis for density functions in Bayes spaces K Hron, A Menafoglio, M Templ, K Hruzova, P Filzmoser MOX–Report No. 25/2014, 0 | 115* | |
| A Kriging Approach based on Aitchison Geometry for the Characterization of Particle-Size Curves in Heterogeneous Aquifers A Menafoglio, A Guadagnini, P Secchi Stochastic Environmental Research and Risk Assessment, 2014 | 91 | 2014 |
| Statistical analysis of complex and spatially dependent data: a review of object oriented spatial statistics A Menafoglio, P Secchi European journal of operational research 258 (2), 401-410, 2017 | 60 | 2017 |
| Profile monitoring of probability density functions via simplicial functional PCA with application to image data A Menafoglio, M Grasso, P Secchi, BM Colosimo Technometrics 60 (4), 497-510, 2018 | 53 | 2018 |
| Compositional regression with functional response R Talská, A Menafoglio, J Machalová, K Hron, E Fišerová Computational Statistics & Data Analysis 123, 66-85, 2018 | 52 | 2018 |
| Kriging for Hilbert-space valued random fields: The operatorial point of view A Menafoglio, G Petris Journal of Multivariate Analysis 146, 84-94, 2016 | 44 | 2016 |
| Stochastic simulation of soil particle‐size curves in heterogeneous aquifer systems through a Bayes space approach A Menafoglio, A Guadagnini, P Secchi Water Resources Research 52 (8), 5708-5726, 2016 | 38 | 2016 |
| A class-kriging predictor for functional compositions with application to particle-size curves in heterogeneous aquifers A Menafoglio, P Secchi, A Guadagnini Mathematical Geosciences 48, 463-485, 2016 | 37 | 2016 |
| Universal kriging of functional data: Trace-variography vs cross-variography? Application to gas forecasting in unconventional shales A Menafoglio, O Grujic, J Caers Spatial Statistics 15, 39-55, 2016 | 35 | 2016 |
| Using curve-registration information for profile monitoring M Grasso, A Menafoglio, BM Colosimo, P Secchi Journal of Quality Technology 48 (2), 99-127, 2016 | 33 | 2016 |
| Kriging prediction for manifold-valued random field D Pigoli, A Menafoglio, P Secchi MOX–Report No. 63/2013, 0 | 33* | |
| Random domain decompositions for object-oriented kriging over complex domains A Menafoglio, G Gaetani, P Secchi Stochastic environmental research and risk assessment 32, 3421-3437, 2018 | 29 | 2018 |
| Control charts for monitoring ship operating conditions and CO2 emissions based on scalar‐on‐function regression C Capezza, A Lepore, A Menafoglio, B Palumbo, S Vantini Applied Stochastic Models in Business and Industry 36 (3), 477-500, 2020 | 21 | 2020 |
| On the use of interferometric synthetic aperture radar data for monitoring and forecasting natural hazards MS Bernardi, PC Africa, C de Falco, L Formaggia, A Menafoglio, S Vantini Mathematical Geosciences 53 (8), 1781-1812, 2021 | 20 | 2021 |
| Functional regression control chart F Centofanti, A Lepore, A Menafoglio, B Palumbo, S Vantini Technometrics 63 (3), 281-294, 2021 | 20 | 2021 |
| Weighting the domain of probability densities in functional data analysis R Talská, A Menafoglio, K Hron, JJ Egozcue, J Palarea‐Albaladejo Stat 9 (1), e283, 2020 | 18 | 2020 |
| Cokriging for multivariate Hilbert space valued random fields: application to multi-fidelity computer code emulation O Grujic, A Menafoglio, G Yang, J Caers Stochastic Environmental Research and Risk Assessment 32, 1955-1971, 2018 | 18 | 2018 |
| Bivariate densities in Bayes spaces: orthogonal decomposition and spline representation K Hron, J Machalová, A Menafoglio Statistical Papers 64 (5), 1629-1667, 2023 | 14 | 2023 |
| Probabilistic assessment of spatial heterogeneity of natural background concentrations in large-scale groundwater bodies through Functional Geostatistics L Guadagnini, A Menafoglio, X Sanchez-Vila, A Guadagnini Science of the Total Environment 740, 140139, 2020 | 14 | 2020 |
Piercesare SecchiProfessor of StatisticsBestätigte E-Mail-Adresse bei polimi.it
