The Barankin bound is locally the greatest possible lower bound for the variance of any unbiased estimator of a deterministic pa- rameter, under certain relatively mild conditions. Much more essential, Barankin's work determines the su cient and necessary conditions un- der which an unbiased estimator with nite variance exists. Nevertheless, the computing of this bound, along with the proof of existence or non- existence of the estimator, has shown to be extremely challenging in most cases. Thereby, many approaches have been made to attain easily com- putable approximations of the bound, given it exists. Focusing on the rather central matter of existence, we provide a simple theoretical frame within which our approximations of the bound gi...
This paper is primarily tutorial in nature and presents a simple approach(norm minimization under li...
For many typical instances where Monte Carlo methods are applied attempts were made to find unbiased...
National audienceCet article étudie les bornes inférieures d'erreur quadratique moyenne hybride dans...
Control Systems Laboratory changed its name to Coordinated Science LaboratoryContract DA-36-039-SC-5...
We address the problem of existence of unbiased constrained parameter estimators. We show that if th...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceWe compute lower bounds on the mean-square error of multiple change-point esti...
International audienceWe compute lower bounds on the mean-square error of multiple change-point esti...
International audienceWe compute lower bounds on the mean-square error of multiple change-point esti...
We compute lower bounds on the mean-square error of multiple change-point estimation. In this contex...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceWe compute lower bounds on the mean-square error of multiple change-point esti...
In constrained parameter estimation, the classical constrained Cramer-Rao bound (CCRB) and the recen...
National audienceCet article étudie les bornes inférieures d'erreur quadratique moyenne hybride dans...
This paper is primarily tutorial in nature and presents a simple approach(norm minimization under li...
For many typical instances where Monte Carlo methods are applied attempts were made to find unbiased...
National audienceCet article étudie les bornes inférieures d'erreur quadratique moyenne hybride dans...
Control Systems Laboratory changed its name to Coordinated Science LaboratoryContract DA-36-039-SC-5...
We address the problem of existence of unbiased constrained parameter estimators. We show that if th...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceWe compute lower bounds on the mean-square error of multiple change-point esti...
International audienceWe compute lower bounds on the mean-square error of multiple change-point esti...
International audienceWe compute lower bounds on the mean-square error of multiple change-point esti...
We compute lower bounds on the mean-square error of multiple change-point estimation. In this contex...
International audienceIt is well known that in non-linear estimation problems the ML estimator exhib...
International audienceWe compute lower bounds on the mean-square error of multiple change-point esti...
In constrained parameter estimation, the classical constrained Cramer-Rao bound (CCRB) and the recen...
National audienceCet article étudie les bornes inférieures d'erreur quadratique moyenne hybride dans...
This paper is primarily tutorial in nature and presents a simple approach(norm minimization under li...
For many typical instances where Monte Carlo methods are applied attempts were made to find unbiased...
National audienceCet article étudie les bornes inférieures d'erreur quadratique moyenne hybride dans...