Speaker
Michal Elias
(GOP Pecny)
Description
We implemented a method of mathematical statistics for a change-point detection. The method was evaluated and the results were compared with the "Fully-Complicated" synthetic time-series dataset. A short summary report presents two sets of the results; first, when the gaps were not covered in the methodology process and second, when the gaps were in some way eliminated before the change-point detection. Both lists of detected change-points are not consistent, thus the question if the gaps have any impact on the change-point detection may arise. We also provided an estimation of a linear trend in the synthetic GPS IWV's time-series. The first results are also discussed in the presentation.
Primary author
Michal Elias
(GOP Pecny)
Co-authors
Prof.
Daniela Jaruskov
(CTU Prague)
Dr
Jan Dousa
(GOP Pecny)
