A Course of Stochastic Analysis

The main subject of the book is stochastic analysis and its various applications to mathematical finance and statistics of random processes. The main purpose of the book is to present, in a short and sufficiently self-contained form, the methods and results of the contemporary theory of stochastic a...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Melnikov, Alexander (VerfasserIn)
Körperschaft: SpringerLink (Online service)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Ausgabe:1st ed. 2023.
Schriftenreihe:CMS/CAIMS Books in Mathematics, 6
Schlagworte:
Online-Zugang:https://doi.org/10.1007/978-3-031-25326-3
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Inhaltsangabe:
  • 1 Probabilistic Foundations
  • 2 Random variables and their quantitative characteristics
  • 3 Expectations and convergence of sequences of random variables
  • 4 Weak convergence of sequences of random variables
  • 5 Absolute continuity of probability measures and conditional expectations
  • 6 Discrete time stochastic analysis: basic results
  • 7 Discrete time stochastic analysis: further results and applications
  • 8 Elements of classical theory of stochastic processes
  • 9 Stochastic differential equations, diffusion processes and their applications
  • 10 General theory of stochastic processes under ”usual conditions"
  • 11 General theory of stochastic processes in applications
  • 12 Supplementary problems
  • References
  • Index.