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On Concentration Functions of Random Variables

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Abstract

Concentration functions are considered for sums of independent random variables. Two-sided bounds are given for concentration functions in the case of log-concave distributions.

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References

  1. Ball, K.: Cube slicing in \(R^n\). Proc. Am. Math. Soc. 97(3), 465–473 (1986)

    MATH  Google Scholar 

  2. Ball, K.: Some remarks on the geometry of convex sets. In: Geometric Aspects of Functional Analysis (1986/87), Lecture Notes in Mathematics 1317, pp. 224–231. Springer, Berlin (1988)

  3. Ball, K.: Logarithmically concave functions and sections of convex sets in \(R^n\). Studia Math. 88(1), 69–84 (1988)

    MATH  MathSciNet  Google Scholar 

  4. Bobkov, S.G.: Extremal properties of half-spaces for log-concave distributions. Ann. Probab. 24(1), 35–48 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  5. Bobkov, S.G.: Isoperimetric and analytic inequalities for log-concave probability distributions. Ann. Probab. 27(4), 1903–1921 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  6. Bobkov, S. G., Chistyakov, G.P.: Bounds on the maximum of the density of sums of independent random variables (Russian). Probability and Statistics, 18. In honour of Ildar Abdullovich Ibragimov’s 80th birthday. Zapiski Nauchn. Semin. POMI. 408, pp. 62–73 (2012)

  7. Borell, C.: Convex measures on locally convex spaces. Ark. Math. 12, 239–252 (1974)

    Article  MATH  MathSciNet  Google Scholar 

  8. Deshouillers, J.-M., Sutanto, : On the rate of decay of the concentration function of the sum of independent random variables. Ramanujan J. 9(1–2), 241–250 (2005)

  9. Esseen, C.G.: On the Kolmogorov-Rogozin inequality for the concentration function. Z. Wahrscheinlichkeitstheorie und Verw. Gebiete 5, 210–216 (1966)

    Article  MATH  MathSciNet  Google Scholar 

  10. Esseen, C.G.: On the concentration function of a sum of independent random variables. Z. Wahrscheinlichkeitstheorie und Verw. Gebiete 9, 290–308 (1968)

    Article  MATH  MathSciNet  Google Scholar 

  11. Fradelizi, M.: Hyperplane sections of convex bodies in isotropic position. Beiträge Algebra Geom. 40(1), 163–183 (1999)

    MATH  MathSciNet  Google Scholar 

  12. Götze, F., Zaitsev, A.Y.: Estimates for the rapid decay of concentration functions of \(n\)-fold convolutions. J. Theor. Probab. 11(3), 715–731 (1998)

    Article  MATH  Google Scholar 

  13. Götze, F., Zaitsev, A.Y.: A multiplicative inequality for concentration functions of \(n\)-fold convolutions. High dimensional probability, II (Seattle, WA, 1999), pp. 39–47, Progress in Probability 47, Birkhauser Boston, Boston (2000)

  14. Hengartner, W., Theodorescu, R.: Concentration functions. Probability and Mathematical Statistics, No. 20. Academic Press [A Subsidiary of Harcourt Brace Jovanovich, Publishers], New York, London (1973) xii+139 pp

  15. Hensley, D.: Slicing convex bodies—bounds for slice area in terms of the body’s covariance. Proc. Am. Math. Soc. 79(4), 619–625 (1980)

    MATH  MathSciNet  Google Scholar 

  16. Kesten, H.: A sharper form of the Doeblin-Levy-Kolmogorov-Rogozin inequality for concentration functions. Math. Scand. 25, 133–144 (1969)

    MATH  MathSciNet  Google Scholar 

  17. Kesten, H.: Sums of independent random variables—without moment conditions. Ann. Math. Stat. 43, 701–732 (1972)

    Article  MATH  MathSciNet  Google Scholar 

  18. Kolmogorov, A.: Sur les propriétés des fonctions de concentrations de M. P. Lévy. Ann. Inst. H. Poincaré (French) 16, 27–34 (1958)

    MATH  MathSciNet  Google Scholar 

  19. Miroshnikov, A.L., Rogozin, B.A.: Inequalities for concentration functions. Teor. Veroyatnost. i Primenen (Russian) 25(1), 178–183 (1980)

    MATH  MathSciNet  Google Scholar 

  20. Miroshnikov, A.L., Rogozin, B.A.: Some remarks on an inequality for the concentration function of sums of independent variables. Teor. Veroyatnost. i Primenen. (Russian) 27(4), 787–789 (1982)

    MATH  MathSciNet  Google Scholar 

  21. Petrov, V.V.: Limit theorems of probability theory. Sequences of independent random variables. Oxford Studies in Probability, 4. Oxford Science Publications. The Clarendon Press, Oxford University Press, New York (1995) xii+292 pp

  22. Pruitt, W.E.: The class of limit laws for stochastically compact normed sums. Ann. Probab. 11(4), 962–969 (1983)

    Article  MATH  MathSciNet  Google Scholar 

  23. Postnikova, L.P., Judin, A.A.: A sharpened form of an inequality for the concentration function. Teor. Verojatnost. i Primenen (Russian) 23(2), 376–379 (1978)

    MATH  MathSciNet  Google Scholar 

  24. Rogozin, B.A.: On the increase of dispersion of sums of independent random variables. Teor. Verojatnost. i Primenen (Russian) 6, 106–108 (1961)

    MathSciNet  Google Scholar 

  25. Rogozin, B.A.: An estimate for the maximum of the convolution of bounded densities. Teor. Veroyatnost. i Primenen (Russian) 32(1), 53–61 (1987)

    MATH  MathSciNet  Google Scholar 

  26. Zaitsev, A.Y.: On the rate of decay of concentration functions of \(n\)-fold convolutions of probability distributions. In: Vestnik St. Petersburg University, Mathematics vol. 44, No. 2, pp. 110–114 (2010)

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Acknowledgments

We thank A. Zaitsev for reading the manuscript. Many thanks to the referee for careful reading, corrections, and helpful comments.

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Correspondence to Sergey G. Bobkov.

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Research partially supported by NSF grant DMS-1106530, Simons Fellowship, and SFB 701.

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Bobkov, S.G., Chistyakov, G.P. On Concentration Functions of Random Variables. J Theor Probab 28, 976–988 (2015). https://doi.org/10.1007/s10959-013-0504-1

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