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dc.contributor.authorAméndola, Carlos
dc.contributor.authorKahle, Thomas
dc.contributor.editorBloch, Victor
dc.contributor.editoraus dem Siepen, Elisabeth
dc.contributor.editorRandecker, Anja
dc.date.accessioned2026-04-10T08:30:56Z
dc.date.available2026-04-10T08:30:56Z
dc.date.issued2026-04-10
dc.identifier.urihttp://publications.mfo.de/handle/mfo/4415
dc.description.abstractThe famous 4-Color Theorem from graph theory states that the vertices of any planar graph can be colored with four colors, so that no neighboring vertices have the same color. The 4-Sample Theorem from algebraic statistics says that the maximum likelihood estimator for a Gaussian graphical model of a planar graph exists with probability 1 if one has at least four samples. This number of necessary samples, the maximum likelihood threshold, is a new graph invariant from algebraic statistics and connected not only to parameter estimation, but also to matrix completion, the theory of filling partial matrices, and rigidity theory, which deals with stability of objects.en_US
dc.language.isoenen_US
dc.publisherMathematisches Forschungsinstitut Oberwolfachen_US
dc.relation.ispartofseriesSnapshots of modern mathematics from Oberwolfach;2026-05
dc.rightsAttribution-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.titleThe 4-Sample Theorem on planar graphsen_US
dc.typeArticleen_US
local.series.idSNAP-2026-005-ENen_US
local.subject.snapshotDiscrete Mathematics and Foundationsen_US
local.subject.snapshotProbability Theory and Statisticsen_US


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Attribution-ShareAlike 4.0 International
Except where otherwise noted, this item's license is described as Attribution-ShareAlike 4.0 International