Modeling with Ito stochastic differential equations

Dynamical systems with random influences occur throughout the physical, biological, and social sciences. By carefully studying a randomly varying system over a small time interval, a discrete stochastic process model can be constructed. Next, letting the time interval shrink to zero, an Ito stochast...

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Detalles Bibliográficos
Autor principal: Allen, E. (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Dordrecht : Springer c2007.
Edición:1st ed. 2007.
Colección:Mathematical modelling--theory and applications ; v. 22.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009460790306719
Tabla de Contenidos:
  • Random Variables
  • Stochastic Processes
  • Stochastic Integration
  • Stochastic Differential Equations
  • Modeling.