The Annals of Probability

Invariance principles for homogeneous sums: Universality of Gaussian Wiener chaos

Ivan Nourdin, Giovanni Peccati, and Gesine Reinert
Source: Ann. Probab. Volume 38, Number 5 (2010), 1947-1985.

Abstract

We compute explicit bounds in the normal and chi-square approximations of multilinear homogenous sums (of arbitrary order) of general centered independent random variables with unit variance. In particular, we show that chaotic random variables enjoy the following form of universality: (a) the normal and chi-square approximations of any homogenous sum can be completely characterized and assessed by first switching to its Wiener chaos counterpart, and (b) the simple upper bounds and convergence criteria available on the Wiener chaos extend almost verbatim to the class of homogeneous sums.

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Primary Subjects: 60F05, 60F17, 60G15, 60H07
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Permanent link to this document: http://projecteuclid.org/euclid.aop/1282053777
Digital Object Identifier: doi:10.1214/10-AOP531
Zentralblatt MATH identifier: 05793427
Mathematical Reviews number (MathSciNet): MR2722791

References

[1] Chen, L. H. Y. and Shao, Q.-M. (2005). Stein’s method for normal approximation. In An Introduction to Stein’s Method. Lect. Notes Ser. Inst. Math. Sci. Natl. Univ. Singap. 4 1–59. Singapore Univ. Press, Singapore.
Mathematical Reviews (MathSciNet): MR2235448
Digital Object Identifier: doi:10.1142/9789812567680_0001
[2] Davidov, Y. and Rotar’, V. (2009). On asymptotic proximity of distributions. J. Theoret. Probab. 22 82–98.
Mathematical Reviews (MathSciNet): MR2472006
Zentralblatt MATH: 1161.60006
Digital Object Identifier: doi:10.1007/s10959-008-0178-2
[3] de Jong, P. (1989). Central Limit Theorems for Generalized Multilinear Forms. CWI Tract 61. Stichting Mathematisch Centrum, Centrum voor Wiskunde en Informatica, Amsterdam.
Mathematical Reviews (MathSciNet): MR1002734
Zentralblatt MATH: 0677.60029
[4] de Jong, P. (1990). A central limit theorem for generalized multilinear forms. J. Multivariate Anal. 34 275–289.
Mathematical Reviews (MathSciNet): MR1073110
Zentralblatt MATH: 0709.60019
Digital Object Identifier: doi:10.1016/0047-259X(90)90040-O
[5] Götze, F. (1991). On the rate of convergence in the multivariate CLT. Ann. Probab. 19 724–739.
Mathematical Reviews (MathSciNet): MR1106283
Zentralblatt MATH: 0729.62051
Digital Object Identifier: doi:10.1214/aop/1176990448
Project Euclid: euclid.aop/1176990448
[6] Janson, S. (1997). Gaussian Hilbert Spaces. Cambridge Tracts in Mathematics 129. Cambridge Univ. Press, Cambridge.
Mathematical Reviews (MathSciNet): MR1474726
[7] Loh, W.-L. (2008). A multivariate central limit theorem for randomized orthogonal array sampling designs in computer experiments. Ann. Statist. 36 1983–2023.
Mathematical Reviews (MathSciNet): MR2435462
Zentralblatt MATH: 1143.62044
Digital Object Identifier: doi:10.1214/07-AOS530
Project Euclid: euclid.aos/1216237306
[8] Malliavin, P. (1997). Stochastic Analysis. Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences] 313. Springer, Berlin.
Mathematical Reviews (MathSciNet): MR1450093
[9] Mossel, E. (2010). Gaussian bounds for noise correlation of functions. GAFA 19 1713–1756.
Mathematical Reviews (MathSciNet): MR2594620
Zentralblatt MATH: 05684985
Digital Object Identifier: doi:10.1007/s00039-010-0047-x
[10] Mossel, E., O’Donnell, R. and Oleszkiewicz, K. (2010). Noise stability of functions with low influences: Variance and optimality. Ann. Math. 171 295–341.
Mathematical Reviews (MathSciNet): MR2630040
Zentralblatt MATH: 05712728
Digital Object Identifier: doi:10.4007/annals.2010.171.295
[11] Nourdin, I. and Peccati, G. (2009). Non-central convergence of multiple integrals. Ann. Probab. 37 14121426.
[12] Nourdin, I. and Peccati, G. (2009). Stein’s method on Wiener chaos. Probab. Theory Related Fields 145 75–118.
Mathematical Reviews (MathSciNet): MR2520122
Zentralblatt MATH: 1175.60053
Digital Object Identifier: doi:10.1007/s00440-008-0162-x
[13] Nourdin, I. and Peccati, G. (2009). Stein’s method and exact Berry–Esseen asymptotics for functionals of Gaussian fields. Ann. Probab. 37 2231–2261.
Mathematical Reviews (MathSciNet): MR2573557
Zentralblatt MATH: 05708800
Digital Object Identifier: doi:10.1214/09-AOP461
Project Euclid: euclid.aop/1258380788
[14] Nourdin, I. and Peccati, G. (2009). Universal Gaussian fluctuations of non-Hermitian matrix ensembles. Preprint.
Mathematical Reviews (MathSciNet): MR2573557
Zentralblatt MATH: 05708800
Digital Object Identifier: doi:10.1214/09-AOP461
Project Euclid: euclid.aop/1258380788
[15] Nourdin, I., Peccati, G. and Reinert, G. (2008). Stein’s method and stochastic analysis of Rademacher functionals. Preprint.
Mathematical Reviews (MathSciNet): MR2430706
Zentralblatt MATH: 05636538
[16] Nourdin, I., Peccati, G. and Reinert, G. (2009). Second order Poincaré inequalities and CLTs on Wiener space. J. Funct. Anal. 257 593–609.
Mathematical Reviews (MathSciNet): MR2527030
Digital Object Identifier: doi:10.1016/j.jfa.2008.12.017
[17] Nourdin, I., Peccati, G. and Réveillac, A. (2010). Multivariate normal approximation using Stein’s method and Malliavin calculus. Ann. Inst. H. Poincaré Probab. Statist. 46 45–58.
Mathematical Reviews (MathSciNet): MR2641769
Zentralblatt MATH: 05717789
Digital Object Identifier: doi:10.1214/08-AIHP308
Project Euclid: euclid.aihp/1267454107
[18] Nualart, D. (2006). The Malliavin Calculus and Related Topics, 2nd ed. Springer, Berlin.
Mathematical Reviews (MathSciNet): MR2200233
[19] Nualart, D. and Ortiz-Latorre, S. (2008). Central limit theorems for multiple stochastic integrals and Malliavin calculus. Stochastic Process. Appl. 118 614–628.
Mathematical Reviews (MathSciNet): MR2394845
Zentralblatt MATH: 1142.60015
Digital Object Identifier: doi:10.1016/j.spa.2007.05.004
[20] Nualart, D. and Peccati, G. (2005). Central limit theorems for sequences of multiple stochastic integrals. Ann. Probab. 33 177–193.
Mathematical Reviews (MathSciNet): MR2118863
Zentralblatt MATH: 1097.60007
Digital Object Identifier: doi:10.1214/009117904000000621
Project Euclid: euclid.aop/1108141724
[21] Peccati, G., Solé, J. L., Taqqu, M. S. and Utzet, F. (2010). Stein’s method and normal approximation of Poisson functionals. Ann. Probab. 38 443–478.
Mathematical Reviews (MathSciNet): MR2642882
Zentralblatt MATH: 05695667
Digital Object Identifier: doi:10.1214/09-AOP477
Project Euclid: euclid.aop/1268143523
[22] Peccati, G. and Taqqu, M. S. (2008). Moments, cumulants and diagram formulae for non-linear functionals of random measure (Survey). Preprint.
[23] Peccati, G. and Tudor, C. A. (2005). Gaussian limits for vector-valued multiple stochastic integrals. In Séminaire de Probabilités XXXVIII. Lecture Notes in Math. 1857 247–262. Springer, Berlin.
Mathematical Reviews (MathSciNet): MR2126978
Zentralblatt MATH: 1063.60027
[24] Privault, N. (2009). Stochastic Analysis in Discrete and Continuous Settings with Normal Martingales. Lecture Notes in Math. 1982. Springer, Berlin.
Mathematical Reviews (MathSciNet): MR2531026
Zentralblatt MATH: 1185.60005
[25] Reinert, G. (2005). Three general approaches to Stein’s method. In An Introduction to Stein’s Method. Lect. Notes Ser. Inst. Math. Sci. Natl. Univ. Singap. 4 183–221. Singapore Univ. Press, Singapore.
Mathematical Reviews (MathSciNet): MR2235451
Digital Object Identifier: doi:10.1142/9789812567680_0004
[26] Rinott, Y. and Rotar, V. (1996). A multivariate CLT for local dependence with n−1/2logn rate and applications to multivariate graph related statistics. J. Multivariate Anal. 56 333–350.
Mathematical Reviews (MathSciNet): MR1379533
Zentralblatt MATH: 0859.60019
Digital Object Identifier: doi:10.1006/jmva.1996.0017
[27] Rotar’, V. I. (1975). Limit theorems for multilinear forms and quasipolynomial functions. Teor. Verojatnost. i Primenen. 20 527–546.
Mathematical Reviews (MathSciNet): MR385980
[28] Rotar’, V. I. (1979). Limit theorems for polylinear forms. J. Multivariate Anal. 9 511–530.
Mathematical Reviews (MathSciNet): MR556909
Zentralblatt MATH: 0426.62013
Digital Object Identifier: doi:10.1016/0047-259X(79)90055-1
[29] Stein, C. (1972). A bound for the error in the normal approximation to the distribution of a sum of dependent random variables. In Proc. Sixth Berkeley Sympos. Math. Statist. Probab., Vol. II: Probability Theory 583–602. Univ. California Press, Berkeley.
Mathematical Reviews (MathSciNet): MR402873
Zentralblatt MATH: 0278.60026
[30] Stein, C. (1986). Approximate Computation of Expectations. Institute of Mathematical Statistics Lecture Notes—Monograph Series 7. IMS, Hayward, CA.
Mathematical Reviews (MathSciNet): MR882007
Zentralblatt MATH: 0721.60016
[31] Tao, T. and Vu, V. (2008). Random matrices: The circular law. Commun. Contemp. Math. 10 261–307.
Mathematical Reviews (MathSciNet): MR2409368
Zentralblatt MATH: 1156.15010
Digital Object Identifier: doi:10.1142/S0219199708002788

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