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The invariance principle for associated processes

Published:1987 Issue: Volume:27 Page:57-71
ISSN:0304-4149
Container-title:Stochastic Processes and their Applications
language:en
Short-container-title:Stochastic Processes and their Applications

Author:

Birkel Thomas

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Reference9 articles.

1. Convergence of Probability Measures;Billingsley,1968

2. Central limit theorems for associated random variables and the percolation model;Cox;Ann. Probab.,1984

3. Association of random variables with applications;Esary;Ann. Math. Statist.,1967

4. The invariance principle for ϕ-mixing sequences;Herrndorf;Z. Wahrsch. Verw. Geb.,1983

5. Normal fluctuations and the FKG inequalities;Newman;Comm. Math. Phys.,1980

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1. The consistency for CUSUM estimator of mean change-point model based on association;Communications in Statistics - Theory and Methods;2024-05-15

2. Central limit theorem and invariance principle for associated random fields;INTERNATIONAL UZBEKISTAN-MALAYSIA CONFERENCE ON “COMPUTATIONAL MODELS AND TECHNOLOGIES (CMT2020)”: CMT2020;2021

3. The Central Limit Theorem for Supercritical Oriented Percolation in Two Dimensions;Journal of Statistical Physics;2018-04-20

4. Convergence in Distribution—Functional Results;Asymptotics for Associated Random Variables;2012

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