Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 16)
Causal and non-anticipating solutions of stochastic equations
The aim of this paper is to give an example of concrete applications of general results obtained in .
KeywordsMeasurable Space Wiener Process Random Element Stochastic Equation Maximal Class
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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- 1.Yershov M.P., The Choquet theorem and stochastic equations, Analysis Math. 1(1975), 259–271.Google Scholar
- 2.Yershov M.P., Non-anticipating solutions of stochastic equations, Proc. 3d Japan-USSR Sympos. Probab. Theory, Springer, Lecture Notes in Math. 550(1976), 655–691.Google Scholar
- 3.Yershov M.P., Second disintegration of measures, Univ. Linz, Institutsbericht 1978.Google Scholar
- 4.Yor M., Quelques resultats de representation integrale, Preprint 1978.Google Scholar
© Springer-Verlag 1979