New model order selection in large dimension regime for complex elliptically symmetric noise

Classification of three-phase power disturbances based on model order selection in smart grid applications.. Zakarya Oubrahim, Vincent Choqueuse, Yassine Amirat,

This paper dealt with power quality disturbances classification in three-phase unbalanced power systems with a particular focus on voltage sags and swells. A new classification

(1, λ)-ES only shows a logarithmic convergence rate as a function of λ, which suggests that this is the best choice when the population size is large.... This figure shows

In Section 6, we illustrate the performance of ρ-estimators in the regression setting (with either fixed or random design) and provide an example for which their risk remains

In this paper the problem of estimating the number of components in a multibaseline interferometric synthetic aperture radar (InSAR) signal, corrupted by complex correlated

A feasible, nonparametric, probabilistic approach for quantifying model-form uncertain- ties associated with a High-Dimensional computational Model (HDM) and/or a

Keywords: approximations spaces, approximation theory, Besov spaces, estimation, maxiset, model selection, rates of convergence.. AMS MOS: 62G05, 62G20,

So, the strategy proposed by Massart outperforms the model selection procedure associated with the nested collection of models of Section 5.1 from the maxiset point of view for