Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Environmental time series interpolation based on Spartan random processes
AbstractIn many environmental applications, time series are either incomplete or irregularly spaced. We investigate the application of the Spartan random process to missing data prediction. We employ a novel modified method of moments (MMoM) and the established method of maximum likelihood (ML) for parameter inference. The CPU time of MMoM is shown to be much faster than that of ML estimation and almost independent of the data size. We formulate an explicit Spartan interpolator for estimating missing data. The model validation is performed on both synthetic data and real time series of atmospheric aerosol concentrations. The prediction performance is shown to be comparable with that attained by means of the best linear unbiased (Kolmogorov–Wiener) predictor at reduced computational cost.
Environmental time series interpolation based on Spartan random processes
AbstractIn many environmental applications, time series are either incomplete or irregularly spaced. We investigate the application of the Spartan random process to missing data prediction. We employ a novel modified method of moments (MMoM) and the established method of maximum likelihood (ML) for parameter inference. The CPU time of MMoM is shown to be much faster than that of ML estimation and almost independent of the data size. We formulate an explicit Spartan interpolator for estimating missing data. The model validation is performed on both synthetic data and real time series of atmospheric aerosol concentrations. The prediction performance is shown to be comparable with that attained by means of the best linear unbiased (Kolmogorov–Wiener) predictor at reduced computational cost.
Environmental time series interpolation based on Spartan random processes
Žukovič, Milan (Autor:in) / Hristopulos, D.T. (Autor:in)
Atmospheric Environment ; 42 ; 7669-7678
20.05.2008
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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