Abstract
We begin in § 2.2.1. with Dobrushin theory for random fields defined through conditional marginal distributions. The comparison result of § 2.2.1.1. yields Dobrushin’s uniqueness condition (§ 2.2.1.2.) and then a mixing condition arises in § 2.2.1.3. The fundamental example of such random fields is the Markov field case (§ 2.2.2.), it is described in terms of potentials in § 2.2.2.1. The non compact case is evocated in § 2.2.3. with the examples of point processes in § 2.2.3.1 and diffusion based random fields in § 2.2.3.2.
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© 1994 Springer-Verlag New York, Inc.
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Doukhan, P. (1994). Gibbs fields. In: Mixing. Lecture Notes in Statistics, vol 85. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2642-0_7
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DOI: https://doi.org/10.1007/978-1-4612-2642-0_7
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-94214-8
Online ISBN: 978-1-4612-2642-0
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