V. Patilea, J. Racine (2026) "Locally Adaptive Online Functional Data Analysis", Journal of Nonparametric Statistics.
V. Patilea, S. Wang (2026) "Rate accelerated inference for integrals of multivariate random functions", Computational Statistics and Data Analysis. R package.
F. Picard, V. Rivoirard, A. Roche, V. Panaretos (2026) "PCA for Point Processes", accepted in the Annals of Statistics. R package.
O. Kassi, N. Klutchnikoff, V. Patilea (2025) "Learning the regularity of multivariate functional data", Electronic Journal of Statistics.
H. Maissoro, V. Patilea, M. Vimond (2025) "Adaptive estimation for weakly dependent functional times series", Journal of Time Series Analysis.
S. Wang, V. Patilea, N. Klutchnikoff (2025) "Adaptive functional principal components analysis", Journal of the Royal Statistical Society Series B.
M. Giacofci, A. Meynaoui, A. Podgorny "A Kernel Two-Sample Test Invariant under Group Action with Applications to Functional Data".
O. Kassi, V. Patilea "Optimal inference for the mean of random functions".
O. Kassi, S. Wang "Structural adaptation via directional regularity: rate accelerated estimation in multivariate functional data".
R package integratefda (Rate accelerated inference for multivariate functional data) developed by S. Wang.
R package PPPCA (Point Process Principal Component Analysis) developed by F. Picard and G. Durif with contributions from V. Rivoirard, A. Roche and V. Panaretos.