A two-stage posterior-weighted Gaussian Process generates approximately periodic time series by keeping an identical mean function across repetitions while permitting smooth inter-repetition variation.
In: Proceedings of the 17th International Conference on Neural InformationProcessingSystems.p.273–280.NIPS’03,MITPress,Cambridge,MA, USA (2003)
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Generative Modeling of Approximately Periodic Time Series by a Posterior-Weighted Gaussian Process
A two-stage posterior-weighted Gaussian Process generates approximately periodic time series by keeping an identical mean function across repetitions while permitting smooth inter-repetition variation.