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dc.contributor.authorSomekh-Baruch, Aneliaen_US
dc.contributor.authorLeshem, Amiren_US
dc.contributor.authorSaligrama, Venkateshen_US
dc.date.accessioned2018-06-19T17:48:04Z
dc.date.available2018-06-19T17:48:04Z
dc.date.issued2017
dc.identifier.citationAnelia Somekh-Baruch, Amir Leshem, Venkatesh Saligrama. 2017. "On the Non-Existence of Unbiased Estimators in Constrained Estimation Problems." IEEE Transactions on Information Theory, pp. 1 - 1. https://doi.org/10.1109/TIT.2017.2731845
dc.identifier.issn0018-9448
dc.identifier.issn1557-9654
dc.identifier.urihttps://hdl.handle.net/2144/29423
dc.description.abstractWe address the problem of existence of unbiased constrained parameter estimators. We show that if the constrained set of parameters is compact and the hypothesized distributions are absolutely continuous with respect to one another, then there exists no unbiased estimator.Weaker conditions for the absence of unbiased constrained estimators are also specified. We provide several examples which demonstrate the utility of these conditions.en_US
dc.format.extent1 - 1en_US
dc.relation.ispartofIEEE Transactions on Information Theory
dc.subjectStatistical theoryen_US
dc.subjectArtificial intelligence and image processingen_US
dc.subjectElectrical and electronic engineeringen_US
dc.subjectCommunications technologiesen_US
dc.subjectNetworking & telecommunicationsen_US
dc.subjectCramer-Rao bounden_US
dc.subjectUnbiased estimationen_US
dc.subjectEstimation theoryen_US
dc.subjectConstrained estimatorsen_US
dc.titleOn the non-existence of unbiased estimators in constrained estimation problemsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TIT.2017.2731845
pubs.elements-sourcecrossrefen_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Engineeringen_US
pubs.organisational-groupBoston University, College of Engineering, Department of Electrical & Computer Engineeringen_US
pubs.publication-statusPublisheden_US


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