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Rate of convergence in invariance principle in linear spaces. Application to empirical measures

Part of the Lecture Notes in Mathematics book series (LNM,volume 1021)

Keywords

  • Random Element
  • Invariance Principle
  • Gaussian Random Field
  • USSR Acad
  • Exponential Inequality

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References

  1. Borisov I.S. Rate of convergence in central limit theorem for empirical measures.-Trans. of Math. Institute, Siberian Branch of the USSR Acad. of Sci. (in Russian), v. 3, to appear.

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© 1983 Springer-Verlag Berlin Heidelberg

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Borisov, I.S. (1983). Rate of convergence in invariance principle in linear spaces. Application to empirical measures. In: Prokhorov, J.V., Itô, K. (eds) Probability Theory and Mathematical Statistics. Lecture Notes in Mathematics, vol 1021. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0072902

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  • DOI: https://doi.org/10.1007/BFb0072902

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-12718-5

  • Online ISBN: 978-3-540-38701-5

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