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Beschreibung
Stochastic processes is a tool widely used by statisticians and
researchers working, for example, in the mathematics of finance. This is
an introductory text that has a strong emphasis on exercises, complete
with informal hints and fully-worked solutions.
researchers working, for example, in the mathematics of finance. This is
an introductory text that has a strong emphasis on exercises, complete
with informal hints and fully-worked solutions.
Stochastic processes is a tool widely used by statisticians and
researchers working, for example, in the mathematics of finance. This is
an introductory text that has a strong emphasis on exercises, complete
with informal hints and fully-worked solutions.
researchers working, for example, in the mathematics of finance. This is
an introductory text that has a strong emphasis on exercises, complete
with informal hints and fully-worked solutions.
Zusammenfassung
Stochastic processes is a tool widely used by statisticians and
researchers working, for example, in the mathematics of finance. This is
an introductory text that has a strong emphasis on exercises, complete
with informal hints and fully-worked solutions.
researchers working, for example, in the mathematics of finance. This is
an introductory text that has a strong emphasis on exercises, complete
with informal hints and fully-worked solutions.
Inhaltsverzeichnis
1. Review of Probability.- 1.1 Events and Probability.- 1.2 Random Variables.- 1.3 Conditional Probability and Independence.- 1.4 Solutions.- 2. Conditional Expectation.- 2.1 Conditioning on an Event.- 2.2 Conditioning on a Discrete Random Variable.- 2.3 Conditioning on an Arbitrary Random Variable.- 2.4 Conditioning on a ?-Field.- 2.5 General Properties.- 2.6 Various Exercises on Conditional Expectation.- 2.7 Solutions.- 3. Martingales in Discrete.- 3.1 Sequences of Random Variables.- 3.2 Filtrations.- 3.3 Martingales.- 3.4 Games of Chance.- 3.5 Stopping Times.- 3.6 Optional Stopping Theorem.- 3.7 Solutions.- 4. Martingale Inequalities and Convergence.- 4.1 Doob's Martingale Inequalities.- 4.2 Doob's Martingale Convergence Theorem.- 4.3 Uniform Integrability and L1 Convergence of Martingales.- 4.4 Solutions.- 5. Markov Chains.- 5.1 First Examples and Definitions.- 5.2 Classification of States.- 5.3 Long-Time Behaviour of Markov Chains: General Case.- 5.4 Long-Time Behaviour of MarkovChains with Finite State Space.- 5.5 Solutions.- 6. Stochastic Processes in Continuous Time.- 6.1 General Notions.- 6.2 Poisson Process.- 6.3 Brownian Motion.- 6.4 Solutions.- 7. Itô Stochastic Calculus.- 7.1 Itô Stochastic Integral: Definition.- 7.2 Examples.- 7.3 Properties of the Stochastic Integral.- 7.4 Stochastic Differential and Itô Formula.- 7.5 Stochastic Differential Equations.- 7.6 Solutions.
Details
| Erscheinungsjahr: | 1998 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Reihe: | Springer Undergraduate Mathematics Series |
| Inhalt: |
x
226 S. 21 Fotos |
| ISBN-13: | 9783540761754 |
| ISBN-10: | 3540761756 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Brzezniak, Zdzislaw
Zastawniak, Tomasz |
| Hersteller: |
Springer
Springer-Verlag GmbH Springer Undergraduate Mathematics Series |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 235 x 178 x 13 mm |
| Von/Mit: | Zdzislaw Brzezniak (u. a.) |
| Erscheinungsdatum: | 26.07.2000 |
| Gewicht: | 0,419 kg |