Abstract
In Chapter 9 we investigate how to control the supremum of the empirical process over a class of functions. The fundamental theoretical question in this direction is whether there exists a “best possible” method to control this supremum at a given size of the random sample. We offer a natural candidate for such a “best possible” method, in the spirit of the Bednorz-Latała result of Chapter 5. Whether this natural method is actually optimal is a major open problem. To illustrate that meditating on these theoretical questions might help to solve practical problems, we present a somewhat streamlined proofs of two deep recent results.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adamczak, R., Litvak, A.E., Pajor, A., Tomczak-Jaegermann, N.: Quantitative estimates of the convergence of the empirical covariance matrix in log-concave ensembles. J. Am. Math. Soc. 23(2), 535–561 (2010)
Adamczak, R., Litvak, A.E., Pajor, A., Tomczak-Jaegermann, N.: Sharp bounds on the rate of convergence of the empirical covariance matrix. C. R. Math. Acad. Sci. Paris 349(3–4), 195–200 (2011)
Adamczak, R., Latała, R., Litvak, A.E., Pajor, A., Tomczak-Jaegermann, N.: Tail and moment estimates for chaoses generated by symmetric random variables with logarithmically concave tails. Ann. Inst. Henri Poincaré Probab. Stat. 48(4), 1103–1136 (2012)
Bourgain, J.: Random points in isotropic convex sets. In: Convex Geometric Analysis, Berkeley, CA, 1996. Math. Sci. Res. Inst. Publ., vol. 34, pp. 53–58. Cambridge Univ. Press, Cambridge (1999)
Dudley, R.M.: Uniform Central Limit Theorems. Cambridge Studies in Advanced Mathematics, vol. 63. Cambridge University Press, Cambridge (1999)
Giné, E., Zinn, J.: Some limit theorems for empirical processes. Ann. Probab. 12, 929–989 (1984)
Klartag, B., Mendelson, S.: Empirical processes and random projections. J. Funct. Anal. 225(1), 229–245 (2005)
Latała, R.: Weak and strong moments of random vectors. In: Marcinkiewicz Centenary Volume. Banach Center Publ., vol. 95, pp. 115–121. Polish Acad. Sci. Inst. Math, Warsaw (2011)
Mendelson, S.: Empirical processes with a bounded ψ 1-diameter. Geom. Funct. Anal. 20(4), 988–1027 (2010)
Mendelson, S., Pajor, A., Tomczak-Jaegermann, N.: Reconstruction and subgaussian operators in asymptotic geometric analysis. Geom. Funct. Anal. 17(4), 1248–1282 (2007)
Mendelson, S., Paouris, G.: On generic chaining and the smallest singular value of random matrices with heavy tails. J. Funct. Anal. 262(9), 3775–3811 (2012)
Talagrand, M.: The Glivenko-Cantelli problem. Ann. Probab. 15, 837–870 (1987)
Talagrand, M.: Regularity of infinitely divisible processes. Ann. Probab. 21, 362–432 (1993)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Talagrand, M. (2014). Theory and Practice of Empirical Processes. In: Upper and Lower Bounds for Stochastic Processes. Ergebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge / A Series of Modern Surveys in Mathematics, vol 60. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54075-2_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-54075-2_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54074-5
Online ISBN: 978-3-642-54075-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)