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dc.contributor.authorHu, Yaozhong
dc.contributor.authorNualart, David
dc.contributor.authorTindel, Samy
dc.contributor.authorXu, Fangjun
dc.date.accessioned2016-12-07T19:30:49Z
dc.date.available2016-12-07T19:30:49Z
dc.date.issued2015
dc.identifier.citationHu, Y., Nualart, D., Tindel, S., & Xu, F. (2015). Density convergence in the Breuer–Major theorem for Gaussian stationary sequences. Bernoulli, 21(4), 2336-2350.en_US
dc.identifier.urihttp://hdl.handle.net/1808/22174
dc.description.abstractConsider 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.en_US
dc.publisherBernoulli Society for Mathematical Statistics and Probabilityen_US
dc.titleDensity convergence in the Breuer-Major theorem for Gaussian stationary sequencesen_US
dc.typeArticleen_US
kusw.kuauthorNualart, David
kusw.kudepartmentMathematicsen_US
dc.identifier.doi10.3150/14-BEJ646en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccess


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