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Modelling cross-dependencies between Spain’s regional tourism markets with an extension of the Gaussian process regression model

Autor
Claveria, O.; Monte, E.; Torra Porras, Salvador
Tipus d'activitat
Article en revista
Revista
Series-Journal of the Spanish Economic Association
Data de publicació
2016-08-16
Volum
7
Número
3
Pàgina inicial
341
Pàgina final
357
DOI
https://doi.org/10.1007/s13209-016-0144-7 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/90005 Obrir en finestra nova
URL
http://link.springer.com/journal/13209 Obrir en finestra nova
Resum
This study presents an extension of the Gaussian process regression model for multiple-input multiple-output forecasting. This approach allows modelling the cross-dependencies between a given set of input variables and generating a vectorial prediction. Making use of the existing correlations in international tourism demand to all seventeen regions of Spain, the performance of the proposed model is assessed in a multiple-step-ahead forecasting comparison. The results of the experiment in a multi...
Citació
Claveria, O., Monte, E., Torra Porras, S. Modelling cross-dependencies between Spain’s regional tourism markets with an extension of the Gaussian process regression model. "Series-Journal of the Spanish Economic Association", 16 Agost 2016, vol. 7, núm. 3, p. 341-357.
Paraules clau
Economic forecasting, Gaussian process regression, Machine learning, Multiple-input multiple-output (MIMO), Neural networks, Tourism demand
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla
VEU - Grup de Tractament de la Parla

Participants

Arxius