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Weak convergence of jump processes

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Séminaire de Probabilités XXVI

Part of the book series: Lecture Notes in Mathematics ((SEMPROBAB,volume 1526))

Abstract

This paper gives a necessary and sufficient condition for the weak convergence X n ⇒ X of general jump processes defined on R +, for Skorokhod topology, in terms of their predictable characteristics v n (dt,dx) and v(dt,dx). The result is an improvement and generalization of that in Jacod [1].

Supported by National Natural Science Foundation of China.

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References

  1. J. Jacod, Sur la convergence des processus ponciuels, Prob. Th. Rel.Fields 76 (1987), 573–586.

    Article  MathSciNet  Google Scholar 

  2. J.Jacod and A. N. Shiryaev, Limit Theorems for Stochastic Processes, Springer-Verlag, 1987.

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  3. J. Jacod, Multivariate Point Processes: Predictable Projection, Radon-Nikodym Derivate, Representation of Martingales, Z. W. Verw. Geb. 31 (1975), 235–253.

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  4. D. J. Aldous, Stopping times and tightness, Ann. Probab. 6 (1978), 335–340.

    Article  MathSciNet  MATH  Google Scholar 

  5. P. Billingsley, Convergence of Probability Measures, Wiley and Sons, 1968.

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  6. I. I. Gihman and A. V. Skorokhod, The Theory of Stochastic Processes, Springer-Verlag, 1975.

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  7. Yu. M. Kabanov, etc, Weak and strong convergence of the distributions of counting processes, Prob. Th. Appl. 28 (1983), 303–336.

    Article  MathSciNet  MATH  Google Scholar 

  8. Yu. M. Kabanov, etc, Some limit theorems for simple point processes, Stochastics 3 (1981), 203–216.

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  9. S. N. Ethier and T. G. Kurtz, Markov Processes, Characterization and convergence, Wiley and Sons, 1986.

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  10. S. W. He, etc, Weak convergence of Markov jump processes (to appear).

    Google Scholar 

  11. S. W. He and J. G. Wang, Two results on jump processes, Sem. Prob. XVIII, Lect. Notes in Math. 1059 (1983), 256–267, Springer-Verlag.

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Jacques Azéma Marc Yor Paul André Meyer

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© 1992 Springer-Verlag

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Xia, A. (1992). Weak convergence of jump processes. In: Azéma, J., Yor, M., Meyer, P.A. (eds) Séminaire de Probabilités XXVI. Lecture Notes in Mathematics, vol 1526. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0084308

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  • DOI: https://doi.org/10.1007/BFb0084308

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56021-0

  • Online ISBN: 978-3-540-47342-8

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