Reduction Principle for Functionals of Vector Random Fields
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Mathematics,Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s11009-019-09720-w.pdf
Reference41 articles.
1. Adler R, Taylor J (2009) Random fields and geometry. Springer, Milan
2. Adler R, Samorodnitsky G, Taylor J (2010) Excursion sets of three classes of stable random fields. Adv Appl Probab 42(2):293–318
3. Adler R, Taylor J, Worsley K (2009) Applications of random fields and geometry: foundations and case studies. Springer Series in Statistics Springer, New York
4. Anh V, Leonenko N, Olenko A (2015) On the rate of convergence to Rosenblatt-type distribution. J Math Anal Appl 425(1):111–132
5. Arcones M (1994) Limit theorems for nonlinear functionals of a stationary Gaussian sequence of vectors. Ann Probab 22(4):2242–2274
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1. Reduction principle for functionals of strong-weak dependent vector random fields;Brazilian Journal of Probability and Statistics;2020-10-01
2. ON STATISTICAL PROPERTIES OF NONLINEAR FUNCTIONALS OF RANDOM FIELDS;Bulletin of the Australian Mathematical Society;2020-09-18
3. On asymptotics of discretized functionals of long-range dependent functional data;Communications in Statistics - Theory and Methods;2020-04-16
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