Free Access
Volume 10, September 2006
Page(s) 141 - 163
Published online 09 March 2006
  1. F. Antonelli and A. Kohatsu-Higa, Filtration stability of backward SDE's. Stochastic Anal. Appl. 18 (2000) 11–37. [CrossRef] [MathSciNet]
  2. P. Billingsley, Convergence of Probability Measures, Second Edition. Wiley and Sons, New York (1999).
  3. P. Briand, B. Delyon and J. Mémin, Donsker-type theorem for BSDEs. Electron. Comm. Probab. 6 (2001) 1–14 (electronic). [MathSciNet]
  4. P. Briand, B. Delyon and J. Mémin, On the robustness of backward stochastic differential equations. Stochastic Process. Appl. 97 (2002) 229–253. [CrossRef] [MathSciNet]
  5. K.L. Chung and Z.X. Zhao, From Brownian motion to Schrödinger's equation, Springer-Verlag, Berlin Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences] 312 (1995).
  6. F. Coquet, V. Mackevičius and J. Mémin, Stability in D of martingales and backward equations under discretization of filtration. Stochastic Process. Appl. 75 (1998) 235–248. [CrossRef] [MathSciNet]
  7. F. Coquet, V. Mackevičius and J. Mémin, Corrigendum to: “Stability in D of martingales and backward equations under discretization of filtration”. Stochastic Process. Appl. 82 (1999) 335–338. [CrossRef] [MathSciNet]
  8. F. Coquet, J. Mémin and L. Słomiński, On weak convergence of filtrations. Séminaire de probabilités XXXV, Springer-Verlag, Berlin Heidelberg New York, Lect. Notes Math. 1755 (2001) 306–328.
  9. J. Haezendonck and F. Delbaen, Caractérisation de la tribu des événements antérieurs à un temps d'arrêt pour un processus stochastique. Acad. Roy. Belg., Bulletin de la Classe Scientifique 56 (1970) 1085–1092.
  10. D.N. Hoover, Convergence in distribution and Skorokhod convergence for the general theory of processes. Probab. Theory Related Fields 89 (1991) 239–259. [CrossRef] [MathSciNet]
  11. J. Jacod and A.N. Shiryaev, Limit Theorems for Stochastic Processes, Springer-Verlag, Berlin Heidelberg New York (1987).
  12. I. Karatzas and S. Shreve, Brownian Motion and Stochastic Calculus, Second Edition. Springer-Verlag, Berlin Heidelberg New York (1991).
  13. J. Ma, P. Protter, J. San Martín and S. Torres, Numerical method for backward stochastic differential equations. Ann. Appl. Probab. 12 (2002) 302–316. [CrossRef] [MathSciNet]
  14. S. Peng, Probabilistic interpretation for systems of quasilinear parabolic partial differential equations. Stoch. Stoch. Rep. 37 (1991) 61–74.
  15. M. Royer, BSDEs with a random terminal time driven by a monotone generator and their links with PDEs. Stoch. Stoch. Rep. 76 (2004) 281–307. [CrossRef] [MathSciNet]

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