Causality and stochastic realization problem.
Causality and stochastic realization.
On Schur-convexity of some distribution functions.
Non-anticipative Integral Transformations of Stochastic Processes
Statistical causality and adapted distribution
In the paper D. Hoover, J. Keisler: Adapted probability distributions, Trans. Amer. Math. Soc. 286 (1984), 159–201 the notion of adapted distribution of two stochastic processes was introduced, which in a way represents the notion of equivalence of those processes. This very important property is hard to prove directly, so we continue the work of Keisler and Hoover in finding sufficient conditions for two stochastic processes to have the same adapted distribution. For this purpose we use the concept...
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