Distance between nonidentically weakly dependent random vectors and Gaussian random vectors under the bounded Lipschitz metric
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Publication:2489842
DOI10.1016/j.spl.2005.05.008zbMath1090.60024OpenAlexW2047143032MaRDI QIDQ2489842
Publication date: 28 April 2006
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2005.05.008
Cites Work
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- A new weak dependence condition and applications to moment inequalities
- Asymptotic theory of weakly dependent stochastic processes
- On regression representations of stochastic processes
- A new covariance inequality and applications.
- Non-strong mixing autoregressive processes
- On the Minimal Condition of Weak Dependency in the Central Limit Theorem for Stationary Sequences
- Real Analysis and Probability
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