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The Theory of Stochastic Processes II Vol.2

BuchKartoniert, Paperback
443 Seiten
Englisch
Springererschienen am22.03.2004Repr. of the 1st ed. 1975.
From the Reviews:"Gihman and Skorohod have done an excellent job of presenting the theory in its present state of rich imperfection."D.W. Stroock in Bulletin of the American Mathematical Society, 1980"To call this work encyclopedic would not give an accurate picture of its content and style.mehr

Produkt

KlappentextFrom the Reviews:"Gihman and Skorohod have done an excellent job of presenting the theory in its present state of rich imperfection."D.W. Stroock in Bulletin of the American Mathematical Society, 1980"To call this work encyclopedic would not give an accurate picture of its content and style.
Details
ISBN/GTIN978-3-540-20285-1
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2004
Erscheinungsdatum22.03.2004
AuflageRepr. of the 1st ed. 1975.
ReiheClassics in Mathematics
Seiten443 Seiten
SpracheEnglisch
Gewicht700 g
IllustrationenVII, 443 p.
Artikel-Nr.10575801

Inhalt/Kritik

Inhaltsverzeichnis
I. Basic Definitions and Properties of Markov Processes.- § 1. Wide-Sense Markov Processes.- § 2. Markov Random Functions.- § 3. Markov Processes.- § 4. Strong Markov Process.- § 5. Multiplicative Functional.- § 6. Properties of Sample Functions of Markov Processes.- II. Homogeneous Markov Processes.- § 1. Basic Definitions.- § 2. The Resolvent and the Generating Operator of a Weakly Measurable Markov Process.- § 3. Stochastically Continuous Processes.- § 4. Feller Processes in Locally Compact Spaces.- § 5. Strong Markov Processes in Locally Compact Spaces.- § 6. Multiplicative Additive Functionals, Excessive Functions.- III. Jump Processes.- § 1. General Definitions and Properties of Jump Processes.- § 2. Homogeneous Markov Processes with a Countable Set of States.- § 3. Semi-Markov Processes.- § 4. Markov Processes with a Discrete Component.- IV. Processes with Independent Increments.- §1. Definitions. General Properties.- § 2. Homogeneous Processes with Independent Movements. One-Dimensional Case.- § 3. Properties of Sample Functions of Homogeneous Processes with Independent Increments in ?1.- §4. Finite-Dimensional Homogeneous Processes with Independent Increments.- V. Branching Processes.- § 1. Branching Processes with Finite Number of Particles.- § 2. Branching Processes with a Continuum of States.- §3. General Markov Processes with Branching.- Historical and Bibliographical Remarks.mehr

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