Abstract
AbstractBayesian inference methods are illustrated for the most relevant Markovian processes: discrete and continuous time Markov chains, Poisson processes, discrete time continuous space Markov processes, and diffusion processes. Examples from biology, ecology, finance, and queueing motivate the discussion.
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