文章基本信息

标题：Model selection on tourism forecasting: A comparison between Bayesian model averaging and Lasso
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作者：Jiyuan Wang ; Geng Peng ; Shouyang Wang 等
期刊名称：African Journal of Business Management
印刷版ISSN：1993-8233
出版年度：2017
卷号：11
期号：8
页码：158-167
DOI：10.5897/AJBM2016.8249
语种：English
出版社：Academic Journals
摘要：This study tries to tackle the tourism forecasting problem using online search queries. This recent-developed methodology is subject to several criticisms, one of which is how to choose satisfying search queries to be built in the forecasting model. This study compares two popular candidates, which are the Bayesian Model Averaging (BMA) approach and the Least Absolute Shrinkage and Selector Operator (Lasso) approach. Evidence shows that the two approaches produce similar forecasting performance but different query selection results.
关键词：Tourism forecasting; query selection; Bayesian model averaging; Lasso; Baidu query data