Density convergence in the Breuer-Major theorem for Gaussian stationary sequences

View/ Open
Issue Date
2015Author
Hu, Yaozhong
Nualart, David
Tindel, Samy
Xu, Fangjun
Publisher
Bernoulli Society for Mathematical Statistics and Probability
Type
Article
Article Version
Scholarly/refereed, publisher version
Metadata
Show full item recordAbstract
Consider a Gaussian stationary sequence with unit variance X={Xk;k∈N∪{0}}. Assume that the central limit theorem holds for a weighted sum of the form Vn=n−1/2∑n−1k=0f(Xk), where f designates a finite sum of Hermite polynomials. Then we prove that the uniform convergence of the density of Vn towards the standard Gaussian density also holds true, under a mild additional assumption involving the causal representation of X.
Collections
Citation
Hu, Y., Nualart, D., Tindel, S., & Xu, F. (2015). Density convergence in the Breuer–Major theorem for Gaussian stationary sequences. Bernoulli, 21(4), 2336-2350.
Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
We want to hear from you! Please share your stories about how Open Access to this item benefits YOU.