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Stochastic Calculus for Analogue of Wiener Process

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Abstract

In this paper, we define an analogue of generalized Wiener measure and investigate its basic properties. We define (Itˆo type) stochastic integrals with respect to the generalized Wiener process and prove the Itˆo formula. The existence and uniqueness of the solution of stochastic differential equation associated with the generalized Wiener process is proved. Finally, we generalize the linear filtering theory of Kalman–Bucy to the case of a generalized Wiener process.

참고문헌 (14)

  1. "Filtering for linear systems driven by fractionalBrownian motion"
  2. "Stochastic alculus with respect o Gausian proceses"
  3. "Stochastic integration with respect o the fractional Brownianmotion"
  4. "Stochastic integration with respect o fractionalBrownian motion", Poincar?e Probab
  5. "Conditional function space integrals with aplications"
  6. "Integration by parts formulas involving eneralizedFourier-Feynman transforms on function space"
  7. "Gausian white noise and aplications to nance"
  8. "Stochastic alculus for fractional Brownianmotion I"
  9. "White Noise Theory of Prediction New results in linear ltering and prediction theory" (1961), Gordon & Breach Science Publishers
  10. "Statistics of Random Proceses" (1974), SpringerVerlag
  11. "Stochastic Differential Equations: An Introduction with Applications" (1998), Springer-Verlag, Berlin
  12. "Stochastic calculus with respect to continuous finite quadraticvariation processes", 70, pp.1~40 (2000)
  13. "A measure-valued analogue ofWiener measure and the measurevaluedFeynman-Kac formula", 354, pp.4921~4951 (2002)
  14. "An analogue of Wiener measure and its applications", 39, pp.801~819 (2002)

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