A strong invariance principle for positively or negatively associated random fields
Author:
Publisher
Elsevier BV
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference21 articles.
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2. Convergence rates in the strong law for bounded mixing sequences;Berbee;Probab. Theory Related Fields,1987
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4. Approximation theorems for independent and weakly dependent random vectors;Berkes;Ann. Probab.,1979
5. Inequalities for the moments of sums of associated multi-indexed variables;Bulinski;Theory Probab. Appl.,1993
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1. A central limit theorem for weighted sums of associated random field;Communications in Statistics - Theory and Methods;2014-03-19
2. Stochastic Geometry, Spatial Statistics and Random Fields;Lecture Notes in Mathematics;2013
3. Sample Path Properties of Gaussian Invariant Random Fields;Probability and Its Applications;2013
4. Central Limit Theorems for Weakly Dependent Random Fields;Stochastic Geometry, Spatial Statistics and Random Fields;2012-10-13
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