Search Results for author: M. J. Käpylä

Found 2 papers, 1 papers with code

Estimating activity cycles with probabilistic methods II. The Mount Wilson Ca H&K data

no code implementations21 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.

Gaussian Processes Time Series +1

Estimating activity cycles with probabilistic methods I. Bayesian Generalised Lomb-Scargle Periodogram with Trend

1 code implementation21 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.

Time Series Time Series Analysis

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