Equations for hidden Markov models

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dc.creatorSchoenhuth, Alexander
dc.date2009-01-23
dc.date2009-02-08
dc.date.accessioned2026-07-07T12:38:30Z
dc.date.available2026-07-07T12:38:30Z
dc.descriptionWe will outline novel approaches to derive model invariants for hidden Markov and related models. These approaches are based on a theoretical framework that arises from viewing random processes as elements of the vector space of string functions. Theorems available from that framework then give rise to novel ideas to obtain model invariants for hidden Markov and related models.
dc.description28 pages; Results presented at the Workshop on Algebraic Statistics, MSRI, UC Berkeley, Dec. 2008. Simplified arguments
dc.identifierhttps://arxiv.org/abs/0901.3749
dc.identifierhttp://arxiv.org/abs/0901.3749
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/218784
dc.subjectStatistics Theory
dc.subjectAlgebraic Geometry
dc.subjectComputation
dc.subject13P10;14Q15;60J22;94A99
dc.titleEquations for hidden Markov models
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