| Fourier analysis of stationary time series in function space VM Panaretos, S Tavakoli The Annals of Statistics 41 (2), 568-603, 2013 | 174 | 2013 |
| Cramér–Karhunen–Loève representation and harmonic principal component analysis of functional time series VM Panaretos, S Tavakoli Stochastic Processes and their Applications 123 (7), 2779-2807, 2013 | 105 | 2013 |
| Tests for separability in nonparametric covariance operators of random surfaces JAD Aston, D Pigoli, S Tavakoli The Annals of Statistics 45 (4), 1431-1461, 2017 | 89 | 2017 |
| Discussion of “The Statistical Analysis of Acoustic Phonetic Data: Exploring Differences Between Spoken Romance Languages” by Pigoli, D., Hadjipantelis, P. Z., Coleman, J. S … S Tavakoli Journal of the Royal Statistical Society (Series C) 67 (5), 1132-1134, 2018 | 38* | 2018 |
| A Spatial Modeling Approach for Linguistic Object Data: Analysing dialect sound variations across Great Britain S Tavakoli, D Pigoli, JAD Aston, J Coleman Journal of the American Statistical Association 114 (527), 1081-1096, 2019 | 30* | 2019 |
| Detecting and localizing differences in functional time series dynamics: a case study in molecular biophysics S Tavakoli, VM Panaretos Journal of the American Statistical Association 111 (515), 1020-1035, 2016 | 30 | 2016 |
| Quantifying uncertainty in brain-predicted age using scalar-on-image quantile regression M Palma, S Tavakoli, J Brettschneider, TE Nichols, ... NeuroImage 219, 116938, 2020 | 26 | 2020 |
| Fourier analysis of functional time series, with applications to DNA dynamics S Tavakoli EPFL, 2014 | 17 | 2014 |
| Factor models for high‐dimensional functional time series I: Representation results M Hallin, G Nisol, S Tavakoli Journal of Time Series Analysis 44 (5-6), 578-600, 2023 | 16 | 2023 |
| Factor models for high‐dimensional functional time series II: Estimation and forecasting S Tavakoli, G Nisol, M Hallin Journal of Time Series Analysis 44 (5-6), 601-621, 2023 | 15 | 2023 |
| covsep: Tests for Determining if the Covariance Structure of 2-Dimensional Data is Separable S Tavakoli R package version 1 (0), 2016 | 7 | 2016 |
| Supplement to “Fourier analysis of stationary time series in function space.” VM Panaretos, S Tavakoli DOI, 2013 | 6 | 2013 |
| Exploring British accents: Modelling the trap–bath split with functional data analysis A Koshy, S Tavakoli Journal of the Royal Statistical Society Series C: Applied Statistics 71 (4 …, 2022 | 3 | 2022 |
| Statistics in Phonetics S Tavakoli, B Matteo, D Pigoli, E Chodroff, J Coleman, M Gubian, ... Annual Reviews of Statistics and its Application, 2025 | 2 | 2025 |
| Functional regression clustering with multiple functional gene expressions S Conde, S Tavakoli, D Ezer PLOS ONE, 2024 | 1 | 2024 |
| 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 |
| Normative brain mapping of 3-dimensional morphometry imaging data using skewed functional data analysis M Palma, S Tavakoli, J Brettschneider, AM Staicu, TE Nichols arXiv preprint arXiv:2407.05806, 2024 | | 2024 |
| Proposer for “Functional models for time-varying random objects” by Dubey, P. & Müller, H.-G. S Tavakoli Journal of the Royal Statistical Society (Series B) 82 (2), 309-312, 2020 | | 2020 |
| Discussion (as Proposer) of Functional Models for Time-varying Random Objects S Tavakoli | | 2019 |
| Rejoinder for" a spatial modeling approach for linguistic object data: analyzing dialect sound variations across Great Britain" JS Coleman, JAD Aston, S Tavakoli, D Pigoli Journal of the American Statistical Association 114 (527), 2019 | | 2019 |
Davide PigoliDepartment of Mathematics, King's College LondonVerified email at kcl.ac.uk
