Abstract
This chapter is divided in three main parts. We first present results for general Markov processes; some consequences are provided in § 2.4.0.1. for a class of nonlinear processes, dynamical systems are explored in § 2.4.0.2. and a class of nonhomogeneous processes is considered in § 2.4.0.3. The main consequences are provided in two sections devoted to Polynomial processes (§ 2.4.1) and explicit examples of nonlinear processes (§ 2.4.2).
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© 1994 Springer-Verlag New York, Inc.
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Doukhan, P. (1994). Markov processes. In: Mixing. Lecture Notes in Statistics, vol 85. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2642-0_9
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DOI: https://doi.org/10.1007/978-1-4612-2642-0_9
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-94214-8
Online ISBN: 978-1-4612-2642-0
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