V. Patilea, J. Racine (2025) "Locally Adaptive Online Functional Data Analysis", Journal of Nonparametric Statistics, accepté.
V. Patilea, S. Wang (2026) "Rate accelerated inference for integrals of multivariate random functions", Computational Statistics and Data Analysis, Vol. 214 (open access). R package here.
O. Kassi, N. Klutchnikoff, V. Patilea (2025) "Learning the regularity of multivariate functional data", Electronic Journal of Statistics, 19(2): 4174-4229 (2025). DOI: 10.1214/25-EJS2433
H. Maissoro, V. Patilea, M. Vimond (2025) "Adaptive estimation for weakly dependent functional times series", Journal of Time Series Analysis, online access.
S. Wang, V. Patilea, N. Klutchnikoff (2025) "Adaptive functional principal components analysis", Journal of the Royal Statistical Society Series B, Vol. 87, Issue 3, 603-631.
Picard, F., Rivoirard, V., Roche, A., Panaretos V. PCA for Point Processes, accepted in the Annals of Statistics.
O. Kassi, V. Patilea (2025) "Optimal inference for the mean of random functions". arXiv:2504.11025.
O. Kassi, S. Wang (2024) "Structural adaptation via directional regularity: rate accelerated estimation in multivariate functional data". arXiv:2409.00817.