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dc.contributor.authorCalmon, F.D.P.en_US
dc.contributor.authorMakhdoumi, A.en_US
dc.contributor.authorMedard, M.en_US
dc.contributor.authorVaria, Mayanken_US
dc.contributor.authorChristiansen, M.en_US
dc.contributor.authorDuffy, K.R.en_US
dc.date.accessioned2021-10-27T19:45:28Z
dc.date.available2021-10-27T19:45:28Z
dc.date.issued2017-08-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000405634400018&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e74115fe3da270499c3d65c9b17d654
dc.identifier.citationF.D.P. Calmon, A. Makhdoumi, M. Medard, M. Varia, M. Christiansen, K.R. Duffy. 2017. "Principal Inertia Components and Applications." IEEE TRANSACTIONS ON INFORMATION THEORY. https://doi.org/10.1109/TIT.2017.2700857
dc.identifier.issn0018-9448
dc.identifier.issn1557-9654
dc.identifier.urihttps://hdl.handle.net/2144/43228
dc.description.abstractWe explore properties and applications of the principal inertia components (PICs) between two discrete random variables X and Y. The PICs lie in the intersection of information and estimation theory, and provide a fine-grained decomposition of the dependence between X and Y. Moreover, the PICs describe which functions of X can or cannot be reliably inferred (in terms of MMSE), given an observation of Y. We demonstrate that the PICs play an important role in information theory, and they can be used to characterize information-theoretic limits of certain estimation problems. In privacy settings, we prove that the PICs are related to the fundamental limits of perfect privacy.en_US
dc.format.extentp. 5011 - 5038en_US
dc.languageEnglish
dc.language.isoen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_US
dc.relation.ispartofIEEE TRANSACTIONS ON INFORMATION THEORY
dc.titlePrincipal inertia components and applicationsen_US
dc.typeConference materialsen_US
dc.description.versionFirst author draften_US
dc.identifier.doi10.1109/TIT.2017.2700857
pubs.elements-sourceweb-of-scienceen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, Administrationen_US
pubs.organisational-groupBoston University, Faculty of Computing & Data Sciencesen_US
pubs.publication-statusPublisheden_US
dc.identifier.mycv362806


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