The paper introduces a statistical concept of causality in continuous time in filtered probability spaces which is based on Granger"-"s definition of causality. Then, we consider Ito’s stochastic differential equation driven with a process of Brownian motion and show the equivalence between some models of causality and weak uniqueness (for weak solutions of stochastic differential equations). We also show that the given concept of causality is closely connected to the extremal solutions of martingale problem and stopped martingale problem.
Примечание. Тезисы докладов публикуются в авторской редакции
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© 1996-2000, Институт вычислительных технологий СО РАН, Новосибирск
© 1996-2000, Сибирское отделение Российской академии наук, Новосибирск