Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-23585
Barbour, A D; Janson, S (2009). A functional combinatorial central limit theorem. Electronic Journal of Probability, 14:2352-2370.
The paper establishes a functional version of the Hoeffding combinatorial central limit theorem. First, a pre-limiting Gaussian process approximation is defined, and is shown to be at a distance of the order of the Lyapounov ratio from the original random process. Distance is measured by comparison of expectations of smooth functionals of the processes, and the argument is by way of Stein's method. The pre-limiting process is then shown, under weak conditions, to converge to a Gaussian limit process. The theorem is used to describe the shape of random permutation tableaux.
49 downloads since deposited on 06 Jan 2010
25 downloads since 12 months
|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||07 Faculty of Science > Institute of Mathematics|
|Deposited On:||06 Jan 2010 10:18|
|Last Modified:||27 Nov 2013 20:13|
|Publisher:||Institute of Mathematical Statistics|
|Series Name:||Adv. Texts Basler Lehrbucher|
|Number of Pages:||288|
Users (please log in): suggest update or correction for this item
Repository Staff Only: item control page