Markov Processes, Gaussian Processes, and Local Times
Written by two foremost researchers in the field, this book studies the local times of Markov processes by employing isomorphism theorems that relate them to certain associated Gaussian processes. It builds to this material through self-contained but harmonized 'mini-courses' on the relevant ingredients, which assume only knowledge of measure-theoretic probability. The streamlined selection of topics creates an easy entrance for students and for experts in related fields. The book starts by developing the fundamentals of Markov process theory and then of Gaussian process theory, including sample path properties. It then proceeds to more advan…
Mehr
CHF 174.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V104:
Folgt in ca. 10 Arbeitstagen
Produktdetails
Weitere Autoren: Rosen, Jay
- ISBN: 978-0-521-86300-1
- EAN: 9780521863001
- Produktnummer: 2289270
- Verlag: Cambridge University Press
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 632 S.
- Masse: H23.5 cm x B15.7 cm x D4.1 cm 1'110 g
- Abbildungen: HC gerader Rücken kaschiert
- Gewicht: 1110
Über den Autor
Michael B. Marcus is Professor of Mathematics at City College and The CUNY Graduate Center. A leading expert on stochastic processes, he has published over one hundred research papers and delivered over 200 invited lectures. He is a Fellow of the Institute of Mathematical Statistics. Jay Rosen is Professor of Mathematics at The Graduate Center and the College of Staten Island, City University of New York. A leading expert on stochastic processes, he has published over eighty research papers. He is a Fellow of the Institute of Mathematical Statistics.
11 weitere Werke von Michael B. Marcus:
Bewertungen
Anmelden