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Markov processes : characterization and convergence

Author: Stewart N Ethier; Thomas G Kurtz
Publisher: New York : Wiley, 2005.
Series: Wiley series in probability and statistics.; Wiley-Interscience paperback series.
Edition/Format:   Print book : EnglishView all editions and formats
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Converted into a paperback format, at a reduced price Markov Processes: Characterization and Convergence is ideal as a graduate text and/or reference on Markov Processes and their relationship to  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Stewart N Ethier; Thomas G Kurtz
ISBN: 047176986X 9780471769866
OCLC Number: 255189303
Description: x, 534 Seiten.
Contents: Introduction. 1. Operator Semigroups. 2. Stochastic Processes and Martingales. 3. Convergence of Probability Measures. 4. Generators and Markov Processes. 5. Stochastic Integral Equations. 6. Random Time Changes. 7. Invariance Principles and Diffusion Approximations. 8. Examples of Generators. 9. Branching Processes. 10. Genetic Models. 11. Density Dependent Population Processes. 12. Random Evolutions. Appendixes. References. Index. Flowchart.
Series Title: Wiley series in probability and statistics.; Wiley-Interscience paperback series.
Responsibility: Stewart N. Ethier ; Thomas G. Kurtz.
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