Symmetric measures via moments

dc.creatorKoloydenko, Alexey
dc.date2004-06-09
dc.date2008-05-14
dc.date.accessioned2026-07-07T09:39:28Z
dc.date.available2026-07-07T09:39:28Z
dc.descriptionAlgebraic tools in statistics have recently been receiving special attention and a number of interactions between algebraic geometry and computational statistics have been rapidly developing. This paper presents another such connection, namely, one between probabilistic models invariant under a finite group of (non-singular) linear transformations and polynomials invariant under the same group. Two specific aspects of the connection are discussed: generalization of the (uniqueness part of the multivariate) problem of moments and log-linear, or toric, modeling by expansion of invariant terms. A distribution of minuscule subimages extracted from a large database of natural images is analyzed to illustrate the above concepts.
dc.descriptionPublished in at http://dx.doi.org/10.3150/07-BEJ6144 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
dc.identifierhttps://arxiv.org/abs/math/0406173
dc.identifierhttp://arxiv.org/abs/math/0406173
dc.identifierBernoulli 2008, Vol. 14, No. 2, 362-390
dc.identifierdoi:10.3150/07-BEJ6144
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/161180
dc.subjectProbability
dc.subjectStatistics Theory
dc.titleSymmetric measures via moments
dc.typetext

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