| 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 | 139* | 2013 |
| Distances and inference for covariance operators D Pigoli, JAD Aston, IL Dryden, P Secchi Biometrika 101 (2), 409-422, 2014 | 122 | 2014 |
| Tests for separability in nonparametric covariance operators of random surfaces JAD Aston, D Pigoli, S Tavakoli The Annals of Statistics, 1431-1461, 2017 | 82 | 2017 |
| 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 | 41* | 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 | 35 | 2012 |
| Kriging prediction for manifold-valued random fields D Pigoli, A Menafoglio, P Secchi Journal of Multivariate Analysis 145, 117-131, 2016 | 33 | 2016 |
| Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology A Cabassi, D Pigoli, P Secchi, PA Carter | 28 | 2017 |
| 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 | 27* | 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 | 12 | 2020 |
| 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 | 12 | 2011 |
| 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 | 10 | 2012 |
| 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 | 9 | 2024 |
| Kriging Riemannian data via random domain decompositions A Menafoglio, D Pigoli, P Secchi Journal of Computational and Graphical Statistics 30 (3), 709-727, 2021 | 9 | 2021 |
| 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 | 5 | 2021 |
| Wavelets smoothing for multidimensional curves D Pigoli, LM Sangalli Recent Advances in Functional Data Analysis and Related Topics, 255-261, 2011 | 3 | 2011 |
| 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 | 2 | 2014 |
| 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 | 1 | 2022 |
| Mathematical foundations of functional Kriging in Hilbert spaces and Riemannian manifolds A Menafoglio, D Pigoli, P Secchi Geostatistical Functional Data Analysis, 27-54, 2022 | 1 | 2022 |
| 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 | 1 | 2020 |
| Tests for separability in nonparametric covariance operators of random surfaces S Tavakoli, D Pigoli, JAD Aston Functional Statistics and Related Fields, 243-250, 2017 | 1 | 2017 |
