Wavelet analysis of a continuous-time Gaussian Process observed at random times and its application to the estimation of the spectral density
Résumé
In numerous applications (finance, internet traffic, biology,...) data are observed at random times. From a wavelet analysis, one derives a nonparametric estimator of the spectral density of a Gaussian process with stationary increments (also stationary Gaussian process) observed at random times.
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