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Conference papers

Weiss-Weinstein bound for change-point estimation

Abstract : We compute the Weiss-Weinstein bound in the context of change-point estimation in a multivariate time series whatever the considered distribution of the data as well the prior. Closed-form expressions are then given in the case of Gaussian observations with change of mean and variance and in the case of parameter change in a Poisson distribution. The proposed bound is shown to be tighter than the previous bounds which were originally derived in the deterministic context and provides a better approximation of the maximum a posteriori estimator global mean square error.
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Contributor : Alexandre Renaux Connect in order to contact the contributor
Submitted on : Friday, November 27, 2015 - 2:13:43 PM
Last modification on : Saturday, June 25, 2022 - 10:18:01 PM
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  • HAL Id : hal-01234929, version 1


Lucien Bacharach, Alexandre Renaux, Mohammed Nabil El Korso, Eric Chaumette. Weiss-Weinstein bound for change-point estimation. IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015) , Dec 2015, Cancun, Mexico. ⟨hal-01234929⟩



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