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 Electronic Journal of Probability > Vol. 15(2010) > Paper 55 open journal systems 


Stein's method and stochastic analysis of Rademacher functionals

Gesine D Reinert, University of Oxford
Ivan Nourdin, University Pierre et Marie Curie (Paris VI)
Giovanni Peccati, University Paris Ouest - Nanterre


Abstract
We compute explicit bounds in the Gaussian approximation of functionals of infinite Rademacher sequences. Our tools involve Stein's method, as well as the use of appropriate discrete Malliavin operators. As the bounds are given in terms of Malliavin operators, no coupling construction is required. When the functional depends only on the first d coordinates of the Rademacher sequence, a simple sufficient condition for convergence to a normal distribution is derived. For finite quadratic forms, we obtain necessary and sufficient conditions. Although our approach does not require the classical use of exchangeable pairs, when the functional depends only on the first d coordinates of the Rademacher sequence we employ chaos expansion in order to construct an explicit exchangeable pair vector; the elements of the vector relate to the summands in the chaos decomposition and satisfy a linearity condition for the conditional expectation. Among several examples, such as random variables which depend on infinitely many Rademacher variables, we provide three main applications: (i) to CLTs for multilinear forms belonging to a fixed chaos, (ii) to the Gaussian approximation of weighted infinite 2-runs, and (iii) to the computation of explicit bounds in CLTs for multiple integrals over sparse sets. This last application provides an alternate proof (and several refinements) of a recent result by Blei and Janson.


Full text: PDF

Pages: 1703-1742

Published on: November 3, 2010


Bibliography

1.      N. Balakrishnan and M. V. Koutras (2002). Runs and scans with applications. Wiley Series in Probability and Statistics. Wiley-Interscience [John Wiley & Sons], New York. MR1882476

2.      A.D. Barbour (1990). Stein's method for diffusion approximations. Probab. Theory Rel. Fields 84(3), 297-322. MR1035659

3.      V. Bentkus, B.-Y. Jing and W. Zhou (2009). On normal approximations to U-statistics. Ann. Probab. 37, 2174-2199.MR2573555

4.      R. Blei (2001). Analysis in Integer and Fractional Dimensions. Cambridge University Press. MR1853423

5.      R. Blei and S. Janson (2004). Rademacher chaos: tail estimates versus limit theorems. Ark. Mat 42(1), 13-29. MR2056543

6.      S. Chatterjee (2008). A new method of normal approximation. Ann Probab. 36, 1584-1610. MR2435859

7.      S. Chatterjee (2009). Fluctuations of eigenvalues and second order Poincaré inequalities. Probab. Theory Rel. Fields 143, 1-40. MR2449121

8.      L.H.Y. Chen and Q.-M. Shao (2005). Stein's method for normal approximation. In: An introduction to Stein's method, 1-59. Lect. Notes Ser. Inst. Math. Sci. Natl. Univ. Singap. 4, Singapore Univ. Press, Singapore, 2005. MR2235448

9.      F. Daly (2008). Upper bounds for Stein-type operators. Electron. J. Probab. 13, 566-587 (electronic). MR2399291

10.  P. de Jong (1987). A central limit theorem for generalized quadratic forms. Probab. Theory Rel. Fields 75(2), 261-277. MR0885466

11.  P. de Jong (1990). A central limit theorem for generalized multilinear forms. J. Mult. Anal. 34, 275-289. MR1073110

12.  V.H. de la Peńa and E. Giné (1997). Decoupling. Springer-Verlag. Berlin Heidelberg New York. MR1666908

13.  B. Efron and C. Stein (1981). The Jackknife Estimate of Variance. Ann. Statist. 9, 586-596. MR0615434 (82k:62074)

14.  A.P. Godbole (1992). The exact and asymptotic distribution of overlapping success runs. Comm. Statist. - Theory and Methods 21, 953-967. MR1173302

15.  F. Götze (1991). On the rate of convergence in the multivariate CLT. Ann. Probab. 19, 724-739. MR1106283

16.  F. Götze and A.N. Tikhomirov (2002). Asymptotic distribution of quadratic forms and applications. J. Theoret. Probab. 15(2), 423-475. MR1898815

17.  L. Goldstein and G. Reinert (1997). Stein's method and the zero bias transformation with application to simple random sampling. Ann. Appl. Probab. 7(4), 935-952. MR1484792

18.  J. Hájek (1968). Asymptotic Normality of Simple Linear Rank Statistics Under Alternatives. Ann. Math. Statist. 39, 325-346. MR0222988

19.  S. Janson (1997). Gaussian Hilbert Spaces. Cambridge University Press. MR1474726

20.  S. Karlin and Y. Rinott (1982). Applications of ANOVA type decompositions for comparisons of conditional variance statistics including jackknife estimates. Ann. Statist. 10, 485-501. MR0653524

21.  S. Kwapién and W.A. Woyczyński (1992). Random Series and Stochastic Integrals: Single and Multiple. Birkhäuser, Basel. MR1167198

22.  M. Ledoux and M. Talagrand (1991). Probability on Banach spaces. Springer-Verlag, Berlin Heidelberg New York. MR1102015

23.  P.-A. Meyer (1992). Quantum probability for probabilists. LNM 1538. Springer-Verlag, Berlin Heidelberg New York. MR1222649

24.  E. Mossel, R. O'Donnell and K. Oleszkiewicz (2010). Noise stability of functions with low influences: variance and optimality. Ann. Math. 71, 295-341. Math. Review number not available.

25.  I. Nourdin and G. Peccati (2009). Stein's method on Wiener chaos. Probab. Theory Rel. Fields 145 (1), 75-118. Math. Review number not available.

26.  I. Nourdin and G. Peccati (2010). Stein's method and exact Berry-Esséen bounds for functionals of Gaussian fields. Ann. Probab. 37, 2231-2261. Math. Review number not available.

27.  I. Nourdin, G. Peccati and A. Réveillac (2010). Multivariate normal approximation using Stein's method and Malliavin calculus. Ann. Inst. H. Poincaré Probab. Statist. 46, 45-58. Math. Review number not available.

28.  I. Nourdin and F.G. Viens (2009). Density estimates and concentration inequalities with Malliavin calculus. Electron. J. Probab. 14, 2287-2309 (electronic). Math. Review number not available.

29.  D. Nualart (2006). The Malliavin calculus and related topics. Springer-Verlag, Berlin, 2nd edition. MR2200233

30.  D. Nualart and G. Peccati (2005). Central limit theorems for sequences of multiple stochastic integrals. Ann. Probab. 33 (1), 177-193. MR2118863

31.  G. Peccati, J.-L. Solé, M.S. Taqqu and F. Utzet (2010). Stein's method and normal approximation of Poisson functional. Ann. Probab. 38, 443-478. Math. Review number not available.

32.  G. Peccati and M.S. Taqqu (2008). Central limit theorems for double integrals. Bernoulli 14(3), 791-821. Math. Review number not available.

33.  G. Peccati and M.S. Taqqu (2008). Moments, cumulants and diagram formulae for non-linear functionals of random measure (Survey). Preprint. http://arxiv.org/abs/0811.1726.

34.  N. Privault (2008). Stochastic analysis of Bernoulli processes. Probability Surveys 5, 435-483. MR2476738

35.  N. Privault and W. Schoutens (2002). Discrete chaotic calculus and covariance identities. Stoch. Stoch. Reports 72, 289-315. MR1897919

36.  G. Reinert (2005). Three general approaches to Stein's method. In: An introduction to Stein's method, 183-221. Lect. Notes Ser. Inst. Math.Sci. Natl. Univ. Singap. 4,, Singapore Univ. Press, Singapore. MR2235451

37.  G. Reinert and A. Röllin (2009). Multivariate normal approximation with Stein's method of exchangeable pairs under a general linearity condition. Ann. Probab. 37, 2150-2173.MR2573554

38.  Y.Rinott and V.Rotar (1996).A multivariate CLT for local dependence with n-1/2 log n rate and applications to multivariate graph related statistics.J. Multivariate Anal. 56, 333-350. MR1379533

39.  Y.Rinott and V.Rotar (1997). On coupling constructions and rates in the CLT for dependent summands with applications to the antivoter model and weighted U-statistics. Ann. Appl. Probab. 7, 1080-1105. MR1484798

40.  V.I. Rotar' (1975). Limit theorems for multilinear forms and quasipolynomial functions. Teor. Verojatnost. i Primenen. 20(3), 527-546. MR0385980

41.  V.I. Rotar' (1979). Limit theorems for polylinear forms. J. Multivariate Anal. 9, 511-530. MR0556909

42.  R.P. Stanley (1997). Enumerative Combinatorics, Vol. 1. Cambridge University Press. Cambridge. MR1442260

43.  C. Stein (1972). A bound for the error in the normal approximation to the distribution of a sum of dependent random variables. In: Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability, Vol. II: Probability theory, 583-602. Univ. California Press, Berkeley, CA. MR0402873

44.  C. Stein (1986). Approximate computation of expectations. Institute of Mathematical Statistics Lecture Notes - Monograph Series, 7. Institute of Mathematical Statistics, Hayward, CA. MR0882007

45.  D. Surgailis (2003). CLTs for Polynomials of Linear Sequences: Diagram Formulae with Applications. In: Long Range Dependence. Birkhäuser, Basel, 111-128. MR1956046

46.  W.R. van Zwet (1984). A Berry-Esseen bound for symmetric statistics. Z. Wahrscheinlichkeitstheorie verw. Gebiete 66, 425-440. MR0751580 (86h:60063)

 

















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Electronic Journal of Probability. ISSN: 1083-6489