Source: Ann. Probab. Volume 37, Number 6
(2009), 2150-2173.
In this paper we establish a multivariate exchangeable pairs approach within the framework of Stein’s method to assess distributional distances to potentially singular multivariate normal distributions. By extending the statistics into a higher-dimensional space, we also propose an embedding method which allows for a normal approximation even when the corresponding statistics of interest do not lend themselves easily to Stein’s exchangeable pairs approach. To illustrate the method, we provide the examples of runs on the line as well as double-indexed permutation statistics.
References
Balakrishnan, N. and Koutras, M. V. (2002). Runs and Scans with Applications. Wiley, New York.
Barbour, A. D. (1990). Stein’s method for diffusion approximations. Probab. Theory Related Fields 84 297–322.
Barbour, A. D. and Chen, L. H. Y. (2005). The permutation distribution of matrix correlation statistics. In Stein’s Method and Applications. Lect. Notes Ser. Inst. Math. Sci. Natl. Univ. Singap. 5 223–245. Singapore Univ. Press, Singapore.
Bhattacharya, R. N. and Holmes, S. (2007). An exposition of Götze’s paper. Preprint.
Bolthausen, E. (1984). An estimate of the remainder in a combinatorial central limit theorem. Z. Wahrsch. Verw. Gebiete 66 379–386.
Mathematical Reviews (MathSciNet):
MR751577
Bolthausen, E. and Götze, F. (1993). The rate of convergence for multivariate sampling statistics. Ann. Statist. 21 1692–1710.
Chatterjee, S., Fulman, J. and Röllin, A. (2006). Exponential approximation by exchangeable pairs and spectral graph theory. Preprint. Available at www.arxiv.org/math.PR/0605552.
Chatterjee, S. and Meckes, E. (2008). Multivariate normal approximation using exchangeable pairs. ALEA Lat. Am. J. Probab. Math. Stat. 4 257–283.
Chatterjee, S., Diaconis, P. and Meckes, E. (2005). Exchangeable pairs and Poisson approximation. Probab. Surv. 2 64–106 (electronic).
Fulman, J. (2004). Stein’s method and non-reversible Markov chains. In Stein’s Method: Expository Lectures and Applications (P. Diaconis and S. Holmes, eds.) 69–77. IMS, Beachwood, OH.
Glaz, J., Naus, J. and Wallenstein, S. (2001). Scan Statistics. Springer, New York.
Goldstein, L. and Reinert, G. (2005). Zero biasing in one and higher dimensions, and applications. In Stein’s Method and Applications. Lect. Notes Ser. Inst. Math. Sci. Natl. Univ. Singap. 5 1–18. Singapore Univ. Press, Singapore.
Goldstein, L. and Rinott, Y. (1996). Multivariate normal approximations by Stein’s method and size bias couplings. J. Appl. Probab. 33 1–17.
Götze, F. (1991). On the rate of convergence in the multivariate CLT. Ann. Probab. 19 724–739.
Hoeffding, W. (1951). A combinatorial central limit theorem. Ann. Math. Statist. 22 558–566.
Mathematical Reviews (MathSciNet):
MR44058
Lemeire, F. (1975). Bounds for condition numbers of triangular and trapezoid matrices. Nordisk Tidskr. Informationsbehandling (BIT) 15 58–64.
Mathematical Reviews (MathSciNet):
MR501837
Loh, W.-L. (2008). A multivariate central limit theorem for randomized orthogonal array sampling designs in computer experiments. Ann. Statist. 36 1983–2023.
Mann, H. B. and Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Ann. Math. Statist. 18 50–60.
Mathematical Reviews (MathSciNet):
MR22058
Mardia, K. V., Kent, J. T. and Bibby, J. M. (1979). Multivariate Analysis. Academic Press, London.
Mathematical Reviews (MathSciNet):
MR560319
Raič, M. (2004). A multivariate CLT for decomposable random vectors with finite second moments. J. Theoret. Probab. 17 573–603.
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.
Rinott, Y. and Rotar, V. (1996). A multivariate CLT for local dependence with n−1/2log n rate and applications to multivariate graph related statistics. J. Multivariate Anal. 56 333–350.
Rinott, Y. and Rotar, V. (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.
Röllin, A. (2007). Translated Poisson approximation using exchangeable pair couplings. Ann. Appl. Probab. 17 1596–1614.
Röllin, A. (2008). A note on the exchangeability condition in Stein’s method. Statist. Probab. Lett. 78 1800–1806.
Rotar, V. (1997). Probability Theory. World Scientific, River Edge, NJ.
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 Symp. Math. Statist. Probab. Vol. II: Probability Theory. Univ. California Press, Berkeley, CA.
Mathematical Reviews (MathSciNet):
MR402873
Stein, C. (1986). Approximate Computation of Expectations. IMS, Hayward, CA.
Mathematical Reviews (MathSciNet):
MR882007
Zhao, L., Bai, Z., Chao, C.-C. and Liang, W.-Q. (1997). Error bound in a central limit theorem of double-indexed permutation statistics. Ann. Statist. 25 2210–2227.