Markov processes, Gaussian processes, and local times /:
Two foremost researchers present important advances in stochastic process theory by linking well understood (Gaussian) and less well understood (Markov) classes of processes. It builds to this material through 'mini-courses' on the relevant ingredients, which assume only measure-theoretic...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Cambridge University Press,
2006.
|
| Schriftenreihe: | Cambridge studies in advanced mathematics ;
100. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Two foremost researchers present important advances in stochastic process theory by linking well understood (Gaussian) and less well understood (Markov) classes of processes. It builds to this material through 'mini-courses' on the relevant ingredients, which assume only measure-theoretic probability. This original, readable book is for researchers and advanced graduate students. |
| Beschreibung: | 1 online resource (x, 620 pages) |
| Bibliographie: | Includes bibliographical references (pages 603-610) and indexes. |
| ISBN: | 9780511246968 051124696X 0511244819 9780511244810 0511245564 9780511245565 0521863007 9780521863001 |
Internformat
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| 505 | 0 | |a Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; 1 Introduction; 2 Brownian motion and Ray-Knight Theorems; 3 Markov processes and local times; 4 Constructing Markov processes; 5 Basic properties of Gaussian processes; 6 Continuity and boundedness of Gaussian processes; 7 Moduli of continuity for Gaussian processes; 8 Isomorphism Theorems; 9 Sample path properties of local times; 10 p-variation of Gaussian processes and local times; 11 Most visited sites of symmetric stable processes; 12 Local times of diffusions; Chapter 13 Associated Gaussian processes. | |
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| contents | Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; 1 Introduction; 2 Brownian motion and Ray-Knight Theorems; 3 Markov processes and local times; 4 Constructing Markov processes; 5 Basic properties of Gaussian processes; 6 Continuity and boundedness of Gaussian processes; 7 Moduli of continuity for Gaussian processes; 8 Isomorphism Theorems; 9 Sample path properties of local times; 10 p-variation of Gaussian processes and local times; 11 Most visited sites of symmetric stable processes; 12 Local times of diffusions; Chapter 13 Associated Gaussian processes. |
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| indexdate | 2024-11-27T13:16:05Z |
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| spelling | Marcus, Michael B. http://id.loc.gov/authorities/names/n81027885 Markov processes, Gaussian processes, and local times / Michael B. Marcus, Jay Rosen. New York : Cambridge University Press, 2006. 1 online resource (x, 620 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Cambridge studies in advanced mathematics ; 100 Includes bibliographical references (pages 603-610) and indexes. Two foremost researchers present important advances in stochastic process theory by linking well understood (Gaussian) and less well understood (Markov) classes of processes. It builds to this material through 'mini-courses' on the relevant ingredients, which assume only measure-theoretic probability. This original, readable book is for researchers and advanced graduate students. Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; 1 Introduction; 2 Brownian motion and Ray-Knight Theorems; 3 Markov processes and local times; 4 Constructing Markov processes; 5 Basic properties of Gaussian processes; 6 Continuity and boundedness of Gaussian processes; 7 Moduli of continuity for Gaussian processes; 8 Isomorphism Theorems; 9 Sample path properties of local times; 10 p-variation of Gaussian processes and local times; 11 Most visited sites of symmetric stable processes; 12 Local times of diffusions; Chapter 13 Associated Gaussian processes. Print version record. Markov processes. http://id.loc.gov/authorities/subjects/sh85081369 Gaussian processes. http://id.loc.gov/authorities/subjects/sh85053558 Local times (Stochastic processes) http://id.loc.gov/authorities/subjects/sh99005510 Processus de Markov. Processus gaussiens. Temps locaux (Processus stochastiques) MATHEMATICS Probability & Statistics Stochastic Processes. bisacsh Gaussian processes fast Local times (Stochastic processes) fast Markov processes fast Rosen, Jay, 1948- https://id.oclc.org/worldcat/entity/E39PCjBHJf9hYWWdRbgQfbTx9P http://id.loc.gov/authorities/names/n99054460 has work: Markov processes, Gaussian processes, and local times (Text) https://id.oclc.org/worldcat/entity/E39PCGDWC44xd3P3dtJHMq4pKb https://id.oclc.org/worldcat/ontology/hasWork Print version: Marcus, Michael B. Markov processes, Gaussian processes, and local times. New York : Cambridge University Press, 2006 9780521863001 0521863007 (DLC) 2006042511 (OCoLC)71362745 Cambridge studies in advanced mathematics ; 100. http://id.loc.gov/authorities/names/n84708314 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=171889 Volltext |
| spellingShingle | Marcus, Michael B. Markov processes, Gaussian processes, and local times / Cambridge studies in advanced mathematics ; Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; 1 Introduction; 2 Brownian motion and Ray-Knight Theorems; 3 Markov processes and local times; 4 Constructing Markov processes; 5 Basic properties of Gaussian processes; 6 Continuity and boundedness of Gaussian processes; 7 Moduli of continuity for Gaussian processes; 8 Isomorphism Theorems; 9 Sample path properties of local times; 10 p-variation of Gaussian processes and local times; 11 Most visited sites of symmetric stable processes; 12 Local times of diffusions; Chapter 13 Associated Gaussian processes. Markov processes. http://id.loc.gov/authorities/subjects/sh85081369 Gaussian processes. http://id.loc.gov/authorities/subjects/sh85053558 Local times (Stochastic processes) http://id.loc.gov/authorities/subjects/sh99005510 Processus de Markov. Processus gaussiens. Temps locaux (Processus stochastiques) MATHEMATICS Probability & Statistics Stochastic Processes. bisacsh Gaussian processes fast Local times (Stochastic processes) fast Markov processes fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85081369 http://id.loc.gov/authorities/subjects/sh85053558 http://id.loc.gov/authorities/subjects/sh99005510 |
| title | Markov processes, Gaussian processes, and local times / |
| title_auth | Markov processes, Gaussian processes, and local times / |
| title_exact_search | Markov processes, Gaussian processes, and local times / |
| title_full | Markov processes, Gaussian processes, and local times / Michael B. Marcus, Jay Rosen. |
| title_fullStr | Markov processes, Gaussian processes, and local times / Michael B. Marcus, Jay Rosen. |
| title_full_unstemmed | Markov processes, Gaussian processes, and local times / Michael B. Marcus, Jay Rosen. |
| title_short | Markov processes, Gaussian processes, and local times / |
| title_sort | markov processes gaussian processes and local times |
| topic | Markov processes. http://id.loc.gov/authorities/subjects/sh85081369 Gaussian processes. http://id.loc.gov/authorities/subjects/sh85053558 Local times (Stochastic processes) http://id.loc.gov/authorities/subjects/sh99005510 Processus de Markov. Processus gaussiens. Temps locaux (Processus stochastiques) MATHEMATICS Probability & Statistics Stochastic Processes. bisacsh Gaussian processes fast Local times (Stochastic processes) fast Markov processes fast |
| topic_facet | Markov processes. Gaussian processes. Local times (Stochastic processes) Processus de Markov. Processus gaussiens. Temps locaux (Processus stochastiques) MATHEMATICS Probability & Statistics Stochastic Processes. Gaussian processes Markov processes |
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