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Rates in the Empirical Central Limit Theorem for Stationary Weakly Dependent Random Fields
Authors:Doukhan  Paul  Lang  Gabriel
Institution:(1) Dept. of Economy, University Cergy Pontoise, UPRES A 8088 Mathematics, 33 Bd. du Port, 95011 Cergy-Pontoise Cedex, France;(2) GRESE, ENGREF, 19 av du Maine, 75732 Paris Cedex 15, France
Abstract:A weak dependence condition is derived as the natural generalization to random fields on notions developed in Doukhan and Louhichi (1999). Examples of such weakly dependent fields are defined. In the context of a weak dependence coefficient series with arithmetic or geometric decay, we give explicit bounds in Prohorov metric for the convergence in the empirical central limit theorem. For random fields indexed by &Zopf d , in the geometric decay case, rates have the form n −1/(8d+24) L(n), where L(n) is a power of log(n). This revised version was published online in June 2006 with corrections to the Cover Date.
Keywords:stationary sequences  inequalities  Rosenthal inequality  positive dependence  mixing  central limit theorem
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