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Mixing pp 63–73Cite as

Gibbs fields

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Part of the book series: Lecture Notes in Statistics ((LNS,volume 85))

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

  • eBook Packages: Springer Book Archive

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