Geodesic
Statistical causality and adapted distribution
Czechoslovak Mathematical Journal, Tome 61 (2011) no. 3, pp. 827-843
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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 of causality between stochastic processes, which is based on Granger's definition of causality. Also, we provide applications of our results to solutions of some stochastic differential equations.
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 of causality between stochastic processes, which is based on Granger's definition of causality. Also, we provide applications of our results to solutions of some stochastic differential equations.
DOI : 10.1007/s10587-011-0030-1
Classification : 03C98, 60G07, 60H10
Keywords: filtration; causality; adapted distribution; weak solution of stochastic differential equation 
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Petrović, Ljiljana; Dimitrijević, Sladjana. Statistical causality and adapted distribution. Czechoslovak Mathematical Journal, Tome 61 (2011) no. 3, pp. 827-843. doi: 10.1007/s10587-011-0030-1

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