Weak invariance of the multidimensional rank statistic for nonstationary absolutely regular processes
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Publication:2640989
DOI10.1016/0047-259X(91)90058-AzbMath0721.60036OpenAlexW2007476441MaRDI QIDQ2640989
Publication date: 1991
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0047-259x(91)90058-a
absolutely regular processesnonstationary random variablesweak invariance of the multidimensional rank statistic
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Cites Work
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- Weak convergence of serial rank statistics under dependence with applications in time series and Markov processes
- Some mixing properties of time series models
- Weak convergence of multidimensional rank statistics under \(\phi\)-mixing conditions
- Geometric ergodicity of Harris recurrent Markov chains with applications to renewal theory
- Convergence of empirical processes of mixing rv's on \([0,1\)]
- Asymptotic normality of multivariate linear rank statistics in the non- i.i.d. case
- SUR UN MODÉLE AUTORÉGRESSIF NON LINÉAIRE, ERGODICITÉ ET ERGODICITÉ GÉOMÉTRIQUE
- Mixing Conditions for Markov Chains
- Limiting behavior of U-statistics for stationary, absolutely regular processes
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