The first book devoted to the theory of nonlinear Markov processes provides a careful exposition of both probabilistic and analytic techniques. The author uses probability to obtain deeper insight into nonlinear dynamics, and analysis to tackle difficult problems in the description of random and chaotic behavior.
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