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...
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