ACKNOWLEDGEMENTS We thank K.-H. Wyrwoll and F. McRobie from the School of Earth and Environment (UWA) for fruitful discussions. Moreover, we acknowledge for financial supports from TUBITAK under the 2214/A program (I.O.), from the Leibniz Association (WGL) under Grant No. SAW-2013-IZW-2542 (D.E.), as well as from the BMBF within the Potsdam Research Cluster for Georisk Analysis, Environmental Change and Sustainability (PROGRESS) Support Code No. 03IS2191B (N.M.).Peer reviewedPublisher PD
International audienceBoth algorithms were applied to an 8000-year long time series of annual precip...
Estimation of a trend of an atmospheric state variable is usually performed by fitting a linear regr...
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Geophysical time series are sometimes sampled irregularly along the time axis. The situation is part...
18 p.Here we present some preliminary results of a statistical–computational implementation to estim...
International audienceBoth algorithms were applied to an 8000-year long time series of annual precip...
Estimation of a trend of an atmospheric state variable is usually performed by fitting a linear regr...
In this paper, we present a spectral analysis method based upon least square approximation. Our meth...
WOS: 000356471700006PubMed ID: 26172776Irregular sampling of data sets is one of the challenges ofte...
The analysis of irregularly sampled time series remains a challenging task requiring methods that ac...
WOS: 000450267500004Irregularly sampled time series usually require data preprocessing before a desi...
Geoscientific measurements often provide time series with irregular time sampling, requiring either ...
Time series derived from paleoclimate archives are often irregularly sampled in time and thus not an...
Abstract. Geoscientific measurements often provide time series with irregular time sampling, requiri...
Characterizing the variability across timescales is important for understanding the underlying dynam...
Many environmental time-series measurements are characterised by irregular sampling. A significant i...
"A large portion of research in time series analysis addresses questioning specific components like ...
We show how an autoregressive Gaussian process model incorporating a time scale coefficient can be u...
Geophysical time series are sometimes sampled irregularly along the time axis. The situation is part...
18 p.Here we present some preliminary results of a statistical–computational implementation to estim...
International audienceBoth algorithms were applied to an 8000-year long time series of annual precip...
Estimation of a trend of an atmospheric state variable is usually performed by fitting a linear regr...
In this paper, we present a spectral analysis method based upon least square approximation. Our meth...