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Nonnegative supermartingales and martingales, and the Girsanov theorem

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Statistics of Random Processes I

Part of the book series: Applications of Mathematics ((SMAP,volume 5))

Abstract

Let (Ω, F, P) be a complete probability space, and let (F t )0 ≤tT, be a nondecreasing family of the sub-σ-algebras F, augmented by sets of F probability zero. Let W = (W t, F t ) be a Wiener process and let γ = (γ t F t )be a random process with

$$ P(\smallint _0^T\gamma _S^2ds < \infty ) = 1 $$
(6.1)

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Notes and References

  1. Novikov A. A., On an identity for stochastic integrals. Teoria Verojatn. i Primenen. XVII, 4 (1972), 761–765.

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  2. Gikhman I. I., Skorokhod A. V., Stochastic Differential Equations. “Naukova dumka,” Kiev, 1968 (Ukranian).

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  3. Liptser R. S., Shiryayev A. N., On absolute continuity of measures corresponding to diffusion type processes with respect to a Wiener measure. Izv. AN SSSR, ser. matem. 36, 4 (1972), 874–889.

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  4. Girsanov I. V., On transformation of one class of random processes with the help of absolutely continuous substitution of the measure. Teoria Verojan. i Primenen. V, 3 (1960), 314–330.

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© 1977 Springer Science+Business Media New York

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Liptser, R.S., Shiryayev, A.N. (1977). Nonnegative supermartingales and martingales, and the Girsanov theorem. In: Statistics of Random Processes I. Applications of Mathematics, vol 5. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-1665-8_7

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  • DOI: https://doi.org/10.1007/978-1-4757-1665-8_7

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4757-1667-2

  • Online ISBN: 978-1-4757-1665-8

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