1 code implementation • 21 Dec 2017 • N. Olspert, J. Pelt, M. J. Käpylä, J. Lehtinen
We show, using synthetic data, that when there is no prior information on whether and to what extent the true model of the data contains a linear trend, the introduced BGLST method is preferable to the methods which either detrend the data or leave the data untrended before fitting the periodic model.
no code implementations • 21 Dec 2017 • N. Olspert, J. Lehtinen, M. J. Käpylä, J. Pelt, A. Grigorievskiy
We develop such models, based on Gaussian processes, for one-dimensional time series and apply it to the extended Mount Wilson Ca H&K sample.