Generalized Bayesian predictive density operators

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dc.creatorTanaka, Fuyuhiko
dc.date2006-02-07
dc.date.accessioned2026-07-07T07:04:16Z
dc.date.available2026-07-07T07:04:16Z
dc.descriptionRecently the quantum Bayesian prediction problem was formulated by Tanaka and Komaki (2005). It is shown that Bayesian predictive density operators are the best predictive density operators when we evaluate them by using the averaged quantum relative entropy based on a prior distribution. In the present paper, we adopt the quantum alpha-divergence as a wider class of loss function. The generalized Bayesian predictive density operator is defined and shown to be best among all the estimates of the unknown density operator.
dc.description9 pages
dc.identifierhttps://arxiv.org/abs/quant-ph/0602072
dc.identifierhttp://arxiv.org/abs/quant-ph/0602072
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/109298
dc.subjectQuantum Physics
dc.titleGeneralized Bayesian predictive density operators
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