3 papers
math.ST2022
Exact first moments of the RV coefficient by invariant orthogonal integration
François Bavaud
The RV coefficient measures the similarity between two multivariate configurations, and its significance testing has attracted various proposals in the last decades. We present a n…
stat.ME2016
Non-parametric latent modeling and network clustering
François Bavaud
The paper exposes a non-parametric approach to latent and co-latent modeling of bivariate data, based upon alternating minimization of the Kullback-Leibler divergence (EM algorithm…
math.ST2011
Robust Estimation through Schoenberg transformations
François Bavaud
Schoenberg transformations, mapping Euclidean configurations into Euclidean configurations, define in turn a transformed inertia, whose minimization produces robust location estima…