Combination forecasts of tourism demand with machine learning models
Combination forecasts of tourism demand with machine learning models
About this item
Full title
Author / Creator
Publisher
London: Routledge
Journal title
Language
English
Formats
Publication information
Publisher
London: Routledge
Subjects
More information
Scope and Contents
Contents
The main objective of this study is to analyse whether the combination of regional predictions generated with machine learning (ML) models leads to improved forecast accuracy. With this aim, we construct one set of forecasts by estimating models on the aggregate series, another set by using the same models to forecast the individual series prior to...
Alternative Titles
Full title
Combination forecasts of tourism demand with machine learning models
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_csuc_recercat_oai_recercat_cat_2072_257608
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_csuc_recercat_oai_recercat_cat_2072_257608
Other Identifiers
ISSN
1350-4851
E-ISSN
1466-4291
DOI
10.1080/13504851.2015.1078441
