| About tests of the “simplifying” assumption for conditional copulas A Derumigny, JD Fermanian Dependence Modeling 5 (1), 154-197, 2017 | 42 | 2017 |
| Improved bounds for square-root lasso and square-root slope A Derumigny Electronic Journal of Statistics 12 (1), 741-766, 2018 | 35 | 2018 |
| On kernel-based estimation of conditional Kendall’s tau: finite-distance bounds and asymptotic behavior A Derumigny, JD Fermanian Dependence Modeling 7 (1), 292-321, 2019 | 16 | 2019 |
| On Kendall’s regression A Derumigny, JD Fermanian Journal of Multivariate Analysis 178, 104610, 2020 | 10 | 2020 |
| Spatial clustering of waste reuse in a circular economy T Tsui, A Derumigny, D Peck, A Van Timmeren, A Wandl Frontiers in Built Environment, 154, 2022 | 9* | 2022 |
| A classification point-of-view about conditional Kendall’s tau A Derumigny, JD Fermanian Computational Statistics & Data Analysis 135, 70-94, 2019 | 9 | 2019 |
| On lower bounds for the bias-variance trade-off A Derumigny, J Schmidt-Hieber The Annals of Statistics 51 (4), 1510-1533, 2023 | 8 | 2023 |
| Estimation of copulas via maximum mean discrepancy P Alquier, BE Chérief-Abdellatif, A Derumigny, JD Fermanian Journal of the American Statistical Association 118 (543), 1997-2012, 2023 | 8 | 2023 |
| A multifunctional matching algorithm for sample design in agricultural plots N Ohana-Levi, A Derumigny, A Peeters, A Ben-Gal, I Bahat, L Katz, ... Computers and Electronics in Agriculture 187, 106262, 2021 | 7 | 2021 |
| Conditional empirical copula processes and generalized measures of association A Derumigny, JD Fermanian Electronic Journal of Statistics 16 (2), 5692-5719, 2022 | 5* | 2022 |
| Explicit non-asymptotic bounds for the distance to the first-order Edgeworth expansion A Derumigny, L Girard, Y Guyonvarch Sankhya A, 1-76, 2023 | 4 | 2023 |
| Testing for equality between conditional copulas given discretized conditioning events A Derumigny, JD Fermanian, A Min Canadian Journal of Statistics, 2022 | 3 | 2022 |
| Identifiability and estimation of meta-elliptical copula generators A Derumigny, JD Fermanian Journal of Multivariate Analysis 190, 104962, 2022 | 3 | 2022 |
| Graft Thickness at 6 Months Postoperatively Predicts Long-Term Visual Acuity Outcomes of Descemet Stripping Automated Endothelial Keratoplasty for Fuchs Dystrophy and Moderate … JM Perone, C Goetz, Y Zevering, A Derumigny, F Bloch, JC Vermion, ... Cornea 41 (11), 1362-1371, 2022 | 2 | 2022 |
| Some statistical results in high-dimensional dependence modeling A Derumigny ENSAE Paris - CREST, 2019 | 2 | 2019 |
| On the construction of confidence intervals for ratios of expectations A Derumigny, L Girard, Y Guyonvarch arXiv preprint arXiv:1904.07111, 2019 | 2 | 2019 |
| CondCopulas: Estimation of conditional copula models 2020 A Derumigny R package. and Jean-David Fermanian,“About tests of the “simplifying …, 2017 | 2 | 2017 |
| About tests of the “simplifying” assumption for conditional copulas, ArXiv e-prints (2016) A Derumigny, JD Fermanian arXiv preprint arXiv:1612.07349, 0 | 2 | |
| Codivergences and information matrices A Derumigny, J Schmidt-Hieber arXiv preprint arXiv:2303.08122, 2023 | 1 | 2023 |
| Fast estimation of Kendall's Tau and conditional Kendall's Tau matrices under structural assumptions R van der Spek, A Derumigny arXiv preprint arXiv:2204.03285, 2022 | 1 | 2022 |
Jean-David FermanianProfesseur of Finance and Statistics, Ensae-CrestAdresse e-mail validée de ensae.fr
