Open Problems in Algebraic Statistics

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dc.creatorSturmfels, Bernd
dc.date2007-07-31
dc.date2007-11-10
dc.date.accessioned2026-07-07T08:41:40Z
dc.date.available2026-07-07T08:41:40Z
dc.descriptionAlgebraic statistics is concerned with the study of probabilistic models and techniques for statistical inference using methods from algebra and geometry. This article presents a list of open mathematical problems in this emerging field, with main emphasis on graphical models with hidden variables, maximum likelihood estimation, and multivariate Gaussian distributions. This article is based on a lecture presented at the IMA in Minneapolis during the 2006/07 program on Applications of Algebraic Geometry.
dc.description13 pages
dc.identifierhttps://arxiv.org/abs/0707.4558
dc.identifierhttp://arxiv.org/abs/0707.4558
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/141745
dc.subjectStatistics Theory
dc.subjectAlgebraic Geometry
dc.subjectComputation
dc.subject13P10, 14Q15, 62H17, 65C60
dc.titleOpen Problems in Algebraic Statistics
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