Neighbourhoods of independence for random processes

dc.creatorArwini, Khadiga
dc.creatorDodson, C. T. J.
dc.date2003-11-06
dc.date.accessioned2026-07-07T05:02:41Z
dc.date.available2026-07-07T05:02:41Z
dc.descriptionThe Freund family of distributions becomes a Riemannian 4-manifold with Fisher information as metric; we derive the induced $α$-geometry, i.e., the $α$-curvature, $α$-Ricci curvature with its eigenvales and eigenvectors, the $α$-scalar curvature etc. We show that the Freund manifold has a positive constant 0-scalar curvature, so geometrically it constitutes part of a sphere. We consider special cases as submanifolds and discuss their geometrical structures; one submanifold yields examples of neighbourhoods of the independent case for bivariate distributions having identical exponential marginals. Thus, since exponential distributions complement Poisson point processes, we obtain a means to discuss the neighbourhood of independence for random processes.
dc.description12 pages, 1 figure
dc.identifierhttps://arxiv.org/abs/math/0311087
dc.identifierhttp://arxiv.org/abs/math/0311087
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/69101
dc.subjectDifferential Geometry
dc.subjectProbability
dc.subject53B20; 60G05
dc.titleNeighbourhoods of independence for random processes
dc.typetext

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