3 papers
stat.OT2026
Deepest voting on rankings
Jean-Baptiste Aubin, Antoine Rolland, Ioana Gavra +2
This article aims to present a unified framework for ranking-based voting rules based on the use of depth functions on permutations, as a counterpart of deepest voting rules on eva…
math.ST2024
A non-asymptotic upper bound in prediction for the PLS estimator
Luca Castelli, Irène Gannaz, Clément Marteau
We investigate the theoretical performances of the Partial Least Square (PLS) algorithm in a high dimensional context. We provide upper bounds on the risk in prediction for the sta…
math.ST2023
A non-asymptotic analysis of the single component PLS regression
Luca Castelli, Clément Marteau, Irène Gannaz
This paper investigates some theoretical properties of the Partial Least Square (PLS) method. We focus our attention on the single component case, that provides a useful framework…