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Bayesian Selection of Markov Models for Symbol Sequences: Application to Microsaccadic Eye Movements
Complex biological dynamics often generate sequences of discrete events which can be described as a Markov process. The order of the underlying Markovian stochastic process is fundamental for characterizing statistical dependencies within sequences. As an example for this class of biological systems...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435382/ https://www.ncbi.nlm.nih.gov/pubmed/22970124 http://dx.doi.org/10.1371/journal.pone.0043388 |