23–25 Jan 2017
Military University of Technology, Warsaw, Poland
Europe/Brussels timezone
<a href="https://events.oma.be/indico/event/8/">Previous Event: 1st COST ES1206 sub-WG Workshop on Data Homogenisation in Brussels, Belgium, 26-27 April 2016</a>

An Assessment of the Change-Point Detection Method Applied on Synthetic Time-Series: Case-Study "Less-Complicated" Dataset

23 Jan 2017, 17:30
5m
Military University of Technology, Warsaw, Poland

Military University of Technology, Warsaw, Poland

Faculty of Civil Engineering and Geodesy Gen. S. Kaliskiego 2, 00-908 Warsaw, Poland
Oral Presentation Results based on the 'LESS COMPLICATED' synthetic dataset Results from the Synthetic Datasets

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 "Less-Complicated" synthetic time-series dataset. A brief report on change-point detection applied on this particular kind of series is submitted in the presentation.

Primary author

Michal Elias (GOP Pecny)

Co-authors

Prof. Daniela Jaruskova (CTU Prague) Dr Jan Dousa (GOP Pecny)

Presentation materials

There are no materials yet.