Multivariate Recursive M-Estimators of Location and Scatter for Dependent Sequences

This paper treats strong convergence of adaptive multivariate recursive M-estimators of location when the scatter matrices are unknown. The observations are elliptically distributed and form a strictly stationary strong mixing sequence. The main algorithm handles a recursive estimator of location and scatter which corresponds to the non-recursive robust M-estimator of location and scatter proposed by Maronna.