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20122021
most citedRobust Semiparametric Efficient Estimators in Elliptical Distributions

16 citations · 16 across the 6 of their papers we have counts for

collaborators

9 papers

stat.ME2021

Joint Estimation of Location and Scatter in Complex Elliptical Distributions: A robust semiparametric and computationally efficient -estimator of the shape matrix

Stefano Fortunati, Alexandre Renaux, Frédéric Pascal

The joint estimation of the location vector and the shape matrix of a set of independent and identically Complex Elliptically Symmetric (CES) distributed observations is investigat…

eess.SP2020

Robust Semiparametric DOA Estimation in non-Gaussian Environment

Stefano Fortunati, Alexandre Renaux, Frédéric Pascal

A general non-Gaussian semiparametric model is adopted to characterize the measurement vectors, i.e.\ the \textit{snapshots}, collected by a linear array. Moreover, the recently de…

eess.SP2020

Properties of a new -estimator of shape matrices

Stefano Fortunati, Alexandre Renaux, Frédéric Pascal

This paper aims at presenting a simulative analysis of the main properties of a new -estimator of shape matrices in Complex Elliptically Symmetric (CES) distributed observations…

eess.SP2020★ 16 cited

Robust Semiparametric Efficient Estimators in Elliptical Distributions

Stefano Fortunati, Alexandre Renaux, Frédéric Pascal

Covariance matrices play a major role in statistics, signal processing and machine learning applications. This paper focuses on the \textit{semiparametric} covariance/scatter matri…

math.DG2020

A Riemannian Framework for Low-Rank Structured Elliptical Models

Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac +2

This paper proposes an original Riemmanian geometry for low-rank structured elliptical models, i.e., when samples are elliptically distributed with a covariance matrix that has a l…

cs.IT2016

A Bayesian Lower Bound for Parameter Estimation of Poisson Data Including Multiple Changes (extended)

Lucien Bacharach, Mohammed Nabil El Korso, Alexandre Renaux +1

This paper derives lower bounds for the mean square errors of parameter estimators in the case of Poisson distributed data subjected to multiple abrupt changes. Since both change l…

cs.IT2016

A class of Weiss-Weinstein bounds and its relationship with the Bobrovsky-Mayer-Wolf-Zakai bounds

Eric Chaumette, Alexandre Renaux, Mohammed Nabil El Korso

A fairly general class of Bayesian "large-error" lower bounds of the Weiss-Weinstein family, essentially free from regularity conditions on the probability density functions suppor…

cs.IT2013

Coexistence of Near-Field and Far-Field Sources: the Angular Resolution Limit

Rémy Boyer, Mohammed Nabil El Korso, Alexandre Renaux +1

Passive source localization is a well known inverse problem in which we convert the observed measurements into information about the direction of arrivals. In this paper we focus o…

cs.IT2012

Some results on the Weiss-Weinstein bound for conditional and unconditional signal models in array processing

Dinh Thang Vu, Alexandre Renaux, Remy Boyer +1

In this paper, the Weiss-Weinstein bound is analyzed in the context of sources localization with a planar array of sensors. Both conditional and unconditional source signal models…