104 citations · 295 across the 16 of their papers we have counts for
3 papers · 1 filter
Confidence bands for Horvitz-Thompson estimators using sampled noisy functional data
Hervé Cardot, David Degras, Etienne Josserand
When collections of functional data are too large to be exhaustively observed, survey sampling techniques provide an effective way to estimate global quantities such as the populat…
Efficient and fast estimation of the geometric median in Hilbert spaces with an averaged stochastic gradient algorithm
Hervé Cardot, Peggy Cénac, Pierre-André Zitt
With the progress of measurement apparatus and the development of automatic sensors it is not unusual anymore to get thousands of samples of observations taking values in high dime…
A fast and recursive algorithm for clustering large datasets with -medians
Hervé Cardot, Peggy Cénac, Jean-Marie Monnez
Clustering with fast algorithms large samples of high dimensional data is an important challenge in computational statistics. Borrowing ideas from MacQueen (1967) who introduced a…