Real Lithuanian economic growth forecasting using artificial neural networks

Audronė Jakaitienė; Minija Tamošiūnaitė

doi:10.15388/LMR.2003.32542

Articles

Audronė Jakaitienė

Vytautas Magnus University

Minija Tamošiūnaitė

Vilnius University

Published 2003-12-22

https://doi.org/10.15388/LMR.2003.32542

PDF

How to Cite

Jakaitienė, A. and Tamošiūnaitė, M. (2003) “Real Lithuanian economic growth forecasting using artificial neural networks”, Lietuvos matematikos rinkinys, 43(spec.), pp. 635–639. doi:10.15388/LMR.2003.32542.

Download Citation

Abstract

Methods for forecasting of Lithuanian gross domestic product (GDP) are analyzed. Prognoses obtained by means of linear models and artificial neural networks are compared.

PDF

This work is licensed under a Creative Commons Attribution 4.0 International License.

Downloads

Download data is not yet available.

Most read articles by the same author(s)

Ramunė Vaišnorė, Audronė Jakaitienė, COVID-19 reproduction number and non-pharmaceutical interventions in Lithuania , Lietuvos matematikos rinkinys: Vol. 62 (2021): Ser. A
Dovilė Stumbrienė, Audronė Jakaitienė, Educational data mining: overview and research trends , Lietuvos matematikos rinkinys: Vol. 56 (2015): Ser. B
Šarūnas Germanas, Audronė Jakaitienė, Power approximation of the transmission disequilibrium test , Lietuvos matematikos rinkinys: Vol. 53 (2012): Ser. B
Dovilė Šiurkutė, Audronė Jakaitienė, Forecasting inflation in short-term using factor models , Lietuvos matematikos rinkinys: Vol. 50 (2009)
Audronė Jakaitienė, Antanas Žilinskas , Julius Žilinskas , Analysis of Lithuanian aggregate consumption by means of dynamic programming , Lietuvos matematikos rinkinys: Vol. 50 (2009)
Audronė Jakaitienė, State-space models in estimating Lithuanian Business Cycle , Lietuvos matematikos rinkinys: Vol. 45 (2005)
Audronė Jakaitienė, Danas Zuokas, The survival regression model of competing risks for the family of Farlie–Gumbel–Morgenstern distributions , Lietuvos matematikos rinkinys: Vol. 42 (2002)