Dependence and mixing for perturbations of copula-based Markov chains
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Publication:2244555
DOI10.1016/j.spl.2021.109239zbMath1473.62162arXiv2106.05766OpenAlexW3199667426MaRDI QIDQ2244555
Fidel Djongreba Ndikwa, Mathias Muia Nthiani, Martial Longla
Publication date: 12 November 2021
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2106.05766
Characterization and structure theory for multivariate probability distributions; copulas (62H05) Transition functions, generators and resolvents (60J35)
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Cites Work
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- Some aspects of modeling dependence in copula-based Markov chains
- Perturbation of bivariate copulas
- An introduction to copulas.
- Basic properties of strong mixing conditions. A survey and some open questions
- Copulas and Markov processes
- Three theorems on \(\rho^*\)-mixing random fields
- Dependence measures for perturbations of copulas
- A CLT for the periodograms of a \(p\)-mixing random field
- Every ``lower psi-mixing Markov chain is ``interlaced rho-mixing
- Functional CLT for nonstationary strongly mixing processes
- On mixtures of copulas and mixing coefficients
- Remarks on the speed of convergence of mixing coefficients and applications
- Bivariate copulas generated by perturbations
- Moment Bounds for Integrals of $\rho$-Mixing Field
- COPULA-BASED CHARACTERIZATIONS FOR HIGHER ORDER MARKOV PROCESSES
- A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION
- On Strong Mixing Conditions for Stationary Gaussian Processes
- On the ψ-Mixing Condition for Stationary Random Sequences
- On dependence structure of copula-based Markov chains
- Copulas and Temporal Dependence
- On the strong law of large numbers for a class of stochastic processes
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