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Davide Pigoli
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Multivariate functional clustering for the morphological analysis of electrocardiograph curves
F Ieva, AM Paganoni, D Pigoli, V Vitelli
Journal of the Royal Statistical Society Series C: Applied Statistics 62 (3 …, 2013
135*2013
Distances and inference for covariance operators
D Pigoli, JAD Aston, IL Dryden, P Secchi
Biometrika 101 (2), 409-422, 2014
1222014
Tests for separability in nonparametric covariance operators of random surfaces
JAD Aston, D Pigoli, S Tavakoli
The Annals of Statistics, 1431-1461, 2017
812017
The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages
D Pigoli, PZ Hadjipantelis, JS Coleman, JAD Aston
Journal of the Royal Statistical Society: Series C (Applied Statistics) 67 …, 2018
40*2018
Wavelets in functional data analysis: estimation of multidimensional curves and their derivatives
D Pigoli, LM Sangalli
Computational Statistics & Data Analysis 56 (6), 1482-1498, 2012
352012
Kriging prediction for manifold-valued random fields
D Pigoli, A Menafoglio, P Secchi
Journal of Multivariate Analysis 145, 117-131, 2016
332016
Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology
A Cabassi, D Pigoli, P Secchi, PA Carter
282017
A spatial modeling approach for linguistic object data: Analyzing dialect sound variations across Great Britain
S Tavakoli, D Pigoli, JAD Aston, JS Coleman
Journal of the American Statistical Association 114 (527), 1081-1096, 2019
25*2019
Functional principal component analysis as a versatile technique to understand and predict the electric consumption patterns
D Beretta, S Grillo, D Pigoli, E Bionda, C Bossi, C Tornelli
Sustainable Energy, Grids and Networks 21, 100308, 2020
122020
ECG signal reconstruction, landmark registration and functional classification
F Ieva, A Paganoni, D Pigoli, V Vitelli
7th Conference on Statistical Computation and Complex System, 2011
122011
Estimation of the mean for spatially dependent data belonging to a Riemannian manifold
D Pigoli, P Secchi
Electronic Journal of Statistics 6, 1926-1942, 2012
102012
Kriging Riemannian data via random domain decompositions
A Menafoglio, D Pigoli, P Secchi
Journal of Computational and Graphical Statistics 30 (3), 709-727, 2021
92021
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
H Coppock, G Nicholson, I Kiskin, V Koutra, K Baker, J Budd, R Payne, ...
Nature Machine Intelligence, 1-14, 2024
72024
Micro‐CT imaging of Onchocerca infection of Simulium damnosum s.l. blackflies and comparison of the peritrophic membrane thickness of forest and savannah flies
MJR Hall, D Martín‐Vega, B Clark, D Ghosh, M Rogers, D Pigoli, ...
Medical and veterinary entomology 35 (3), 231-238, 2021
52021
Wavelets smoothing for multidimensional curves
D Pigoli, LM Sangalli
Recent Advances in Functional Data Analysis and Related Topics, 255-261, 2011
32011
Permutation tests for comparison of covariance operators
D Pigoli, J Aston, IL Dryden, P Secchi
Contributions in infinite-dimensional statistics and related topics, 215-220, 2014
22014
Statistical design and analysis for robust machine learning: a case study from COVID-19
D Pigoli, K Baker, J Budd, L Butler, H Coppock, S Egglestone, SG Gilmour, ...
arXiv preprint arXiv:2212.08571, 2022
12022
Mathematical foundations of functional Kriging in Hilbert spaces and Riemannian manifolds
A Menafoglio, D Pigoli, P Secchi
Geostatistical Functional Data Analysis, 27-54, 2022
12022
Estimation of Insect Age for Assessing Minimum Post-Mortem Interval in Forensic Entomology Casework
D Pigoli, MJR Hall, JAD Aston
Handbook of Forensic Statistics, 443-449, 2020
12020
Tests for separability in nonparametric covariance operators of random surfaces
S Tavakoli, D Pigoli, JAD Aston
Functional Statistics and Related Fields, 243-250, 2017
12017
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