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General theorems on large deviations for random vectors

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Abstract

In the paper, we present some general theorems on large deviations of random vectors with cumulants satisfying the generalized Statulevičius condition. The results obtained are applicable in derivation of limit theorems in the scheme of series, including the case where the dimension of the considered random vectors is growing indefinitely.

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References

  1. R. Bentkus and R. Rudzkis, On exponential estimates of the distribution of random variables, Litov. Mat. Sb., 20:15–30, 1980 (in Russian).

  2. H. Cramér, Sur un nouveau théorème-limite de la théorie des probabilités, Actual. Sci. Ind., 736:5–23, 1938.

    MATH  Google Scholar 

  3. J. Dedecker, P. Doukhan, G. Lang, J.R. Leon, S. Louhichi, and C. Prieur, Weak Dependence: With Examples and Applications, Springer, New York, 2007.

    Book  MATH  Google Scholar 

  4. A. Dembo and O. Zeitouni, Large Deviations Techniques and Applications, Springer, New York, 1998.

    Book  MATH  Google Scholar 

  5. F. den Hollander, Large Deviations, Fields Inst. Monogr., AMS, Providence, RI, 2000.

    MATH  Google Scholar 

  6. M.D. Donsker and S.R.S. Varadhan, Asymptotic evaluation of certain Markov process expectations for large time. I, Commun. Pure Appl. Math., 28:1–47, 1975.

    Article  MathSciNet  MATH  Google Scholar 

  7. M.D. Donsker and S.R.S. Varadhan, Asymptotic evaluation of certain Markov process expectations for large time. II, Commun. Pure Appl. Math., 28:279–301, 1975.

    Article  MathSciNet  MATH  Google Scholar 

  8. M.D. Donsker and S.R.S. Varadhan, Asymptotic evaluation of certain Markov process expectations for large time. III, Commun. Pure Appl. Math., 29:389–461, 1976.

    Article  MathSciNet  MATH  Google Scholar 

  9. M.D. Donsker and S.R.S. Varadhan, Asymptotic evaluation of certain Markov process expectations for large time. IV, Commun. Pure Appl. Math., 36:183–212, 1983.

    Article  MathSciNet  MATH  Google Scholar 

  10. R.S. Ellis, Large deviations for a general class of random vectors, Ann. Probab., 12(1):1–12, 1984.

    Article  MathSciNet  MATH  Google Scholar 

  11. V. Leonov and A.N. Shiryaev, On a method of calculating semi-invariants, Theory Probab. Appl., 4:319–329, 1959.

    Article  MATH  Google Scholar 

  12. S. Ramasubramanian, Large deviations: An introduction to 2007 Abel prize, Proc. Indian Natl. Sci. Acad., 118(2):161–182, 2008.

    MathSciNet  MATH  Google Scholar 

  13. R. Rudzkis, L. Saulis, and V. Statulevičius, A general lemma on probabilities of large deviations, Liet. Mat. Rink., 18:99–116, 1978.

    MathSciNet  MATH  Google Scholar 

  14. I.N. Sanov, On the probability of large deviations of random magnitudes, Mat. Sb., Nov. Ser., 42(84):11–44, 1957 (in Russian).

  15. L. Saulis, General large deviation lemmas for random vector with semiinvariants of regular growth. I, Liet. Mat. Rink., 27:535–549, 1987.

    MATH  Google Scholar 

  16. L. Saulis, General large deviation lemmas for random vector with semiinvariants of regular growth. II, Liet. Mat. Rink., 27:747–758, 1987.

    Google Scholar 

  17. L. Saulis, General large deviation lemmas for random vector with semiinvariants of regular growth. III, Liet. Mat. Rink., 28:99–111, 1988.

    MATH  Google Scholar 

  18. L. Saulis and V. Statulevičius, Limit Theorems for Large Deviations, Kluwer Academic, Dordrecht, 1991.

    Book  MATH  Google Scholar 

  19. V. Statulevičius, On large deviations, Z. Wahrscheinlichkeitstheor. Verw. Geb., 6:133–144, 1966.

    Article  MATH  Google Scholar 

  20. H. Touchette, The large deviation approach to statistical mechanics, Phys. Rep., 478(1):1–69, 2009.

    Article  MathSciNet  Google Scholar 

  21. S.R.S. Varadhan, Large deviations, Ann. Probab., 36(2):397–419, 2008.

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Rimantas Rudzkis.

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Rudzkis, R., Bakshaev, A. General theorems on large deviations for random vectors. Lith Math J 57, 367–390 (2017). https://doi.org/10.1007/s10986-017-9367-y

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  • DOI: https://doi.org/10.1007/s10986-017-9367-y

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