@inproceedings{fde541d439514f0da842ca9970648160,
title = "Kalman filter approach for extracting trend and cyclical information from latvian exports data",
abstract = "Decomposing a time series into trend-cycle components can be achieved in several ways. In the last decade Unobservable Components decomposition has become very popular. This method uses Kalman Filter approach. The latter method was applied to Latvian exports to EU series and the results were compared to those achieved via conventional Trend-seasonal decomposition.",
author = "Nadezhda Sinenko and Svetlana Vasiljeva",
year = "2006",
language = "English",
series = "5th International Conference APLIMAT 2006",
publisher = "Slovak University of Technology in Bratislava",
pages = "599--605",
editor = "Monika Kovacova",
booktitle = "5th International Conference APLIMAT 2006",
address = "Slovakia",
note = "5th International Conference APLIMAT 2006 ; Conference date: 07-02-2006 Through 10-02-2006",
}