Bayesian nonparametric estimation of the spectral density of a long or intermediate memory Gaussian process
Résumé
A stationary Gaussian process is said to be long-range dependent (resp. anti-persistent) if its spectral density $f(\lambda)$ can be written as $f(\lambda)=|\lambda|^{-2d}g(|\lambda|)$, where $0
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