This book presents new research in probability theory using ideas from mathematical logic. It is a general study of stochastic processes on adapted probability spaces, employing the concept of similarity of stochastic processes based on the notion of adapted distribution. The authors use ideas from model theory and methods from nonstandard analysis



Autorentext

Sergio Fajardo Department of Mathematics, University of Los Andes, Bogota, Colombia. H. Jerome Keisler Department of Mathematics, University of Wisconsin, Madison, Wisconsin, USA.

Titel
Model Theory of Stochastic Processes
Untertitel
Lecture Notes in Logic 14
EAN
9781040190272
Format
E-Book (epub)
Veröffentlichung
01.01.2002
Digitaler Kopierschutz
Adobe-DRM
Dateigrösse
0.41 MB