First, we propose several closed- form expressions for the different bounds of the Weiss-Wein- stein family (including the proposed Bayesian Abel bound) for a general

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

bounds only give a coarse insight on the change-point estimation behavior, we recently proposed the use of Bayesian lower bounds such as the Weiss-Weinstein bound (WWB), both for

Une longévité accrue grâce à son mélange unique de silice Excellente motricité, été comme hiver, sur tous types de sols Utilisable toute l’année avec son marquage 3PMSF et

WEISS-WEINSTEIN BOUNDS FOR THE COLD ARRAY The Weiss-Weinstein bound is a lower bound on the mean square er- ror well known to accurately predict the SNR threshold effect which

Le fait d’écrire les nombres entiers avec un chiffre pour les unités, un chiffre pour les dizaines, un chiffre pour les centaines, etc.. facilite beaucoup les opérations (essayez

In a data-aided carrier estimation problem, a closed-form expression of the Weiss–Weinstein bound (WWB) that is known to be the tightest bound of the Weiss and Weinstein family

Abstract—In this paper, we study the influence of the prior distribution on the Weiss-Weinstein bound (WWB) in the ubiq- uitous multiple change-point estimation problem.. As by

We give two versions of Nakayama's lemma in the context of commutative rings and some applications, in particular, we prove two versions of Krull's intersection theorem. To do so,

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Weiss, “A general class of lower bounds in parameter estimation,” IEEE Transactions on Information Theory, vol. Tabrikian, “General classes of performance lower bounds for

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Even if the difference of extraction temperature between HFO- 1234ze (30 C) and ethanol/water (60 C) could explain the lower extraction yield, the low polyphenols content in

For lower bounds obtained by an optimization over test points, as the Barankin bound or the Weiss–Weinstein bound, it is known that this behavior is related to the ambiguity function

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This drawback led us to consider the problem from a Bayesian point of view, for which we recently derived the Weiss-Weinstein bound (WWB) for a single change-point and known