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The combination of interval forecasts in tourism

Citations

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Cited by:

  1. Ru-Xin Nie & Chuan Wu & He-Ming Liang, 2024. "Exploring Appropriate Search Engine Data for Interval Tourism Demand Forecasting Responding a Public Crisis in Macao: A Combined Bayesian Model," Sustainability, MDPI, vol. 16(16), pages 1-21, August.
  2. Edmond H. C. Wu & Jihao Hu & Rui Chen, 2022. "Monitoring and forecasting COVID-19 impacts on hotel occupancy rates with daily visitor arrivals and search queries," Current Issues in Tourism, Taylor & Francis Journals, vol. 25(3), pages 490-507, February.
  3. Xie, Gang & Qian, Yatong & Wang, Shouyang, 2020. "A decomposition-ensemble approach for tourism forecasting," Annals of Tourism Research, Elsevier, vol. 81(C).
  4. Yongmei Fang & Emmanuel Sirimal Silva & Bo Guan & Hossein Hassani & Saeed Heravi, 2025. "Optimal Forecast Combination for Japanese Tourism Demand," Tourism and Hospitality, MDPI, vol. 6(2), pages 1-19, May.
  5. Xi Wu & Adam Blake, 2023. "Does the combination of models with different explanatory variables improve tourism demand forecasting performance?," Tourism Economics, , vol. 29(8), pages 2032-2056, December.
  6. Liu, Anyu & Vici, Laura & Ramos, Vicente & Giannoni, Sauveur & Blake, Adam, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team," Annals of Tourism Research, Elsevier, vol. 88(C).
  7. Yi-Chung Hu & Geng Wu & Mei-Ling Wu, 2025. "Generation of ensemble forecasts using functional-link net for decomposition ensemble learning to forecast tourist arrivals," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(5), pages 4159-4184, October.
  8. Tan, Zhi Qin & Li, Yunpeng, 2026. "Post-pandemic tourism forecasting with ensemble RNN," Annals of Tourism Research, Elsevier, vol. 116(C).
  9. Qiu, Richard T.R. & Wu, Doris Chenguang & Dropsy, Vincent & Petit, Sylvain & Pratt, Stephen & Ohe, Yasuo, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Asia and Pacific team," Annals of Tourism Research, Elsevier, vol. 88(C).
  10. İhsan Erdem Kayral & Tuğba Sarı & Nisa Şansel Tandoğan Aktepe, 2023. "Forecasting the Tourist Arrival Volumes and Tourism Income with Combined ANN Architecture in the Post COVID-19 Period: The Case of Turkey," Sustainability, MDPI, vol. 15(22), pages 1-20, November.
  11. Li, Jingrui & Xie, Weihong & Wang, Jianzhou & Gao, Jialu & Zhang, Linyue & Wang, Jiyang & Li, Shoujiang, 2026. "Forecasting tourism recovery with multifactor insights – A case of post-pandemic Chinese outbound tourism," Annals of Tourism Research, Elsevier, vol. 116(C).
  12. Yi-Chung Hu, 2023. "Tourism combination forecasting using a dynamic weighting strategy with change-point analysis," Current Issues in Tourism, Taylor & Francis Journals, vol. 26(14), pages 2357-2374, July.
  13. Liu, Anyu & Wu, Doris Chenguang, 2019. "Tourism productivity and economic growth," Annals of Tourism Research, Elsevier, vol. 76(C), pages 253-265.
  14. Anyu Liu & Laura Vici & Vicente Ramos & Sauveur Giannoni & Adam Blake, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team," Post-Print hal-04653783, HAL.
  15. Gao, Huicai & Li, Hengyun & Zhang, Chen Jason, 2025. "Time and feature varying tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 112(C).
  16. Geng Wu & Yi-Chung Hu & Yu-Jing Chiu & Shu-Ju Tsao, 2023. "A new multivariate grey prediction model for forecasting China’s regional energy consumption," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4173-4193, May.
  17. Li, Hengyun & Guo, Honggang & Wang, Jianzhou & Wang, Yong & Wu, Chunying, 2025. "Tourism combination forecasting with swarm intelligence," Annals of Tourism Research, Elsevier, vol. 111(C).
  18. Bright Akwasi Gyamfi & Murad A Bein & Festus Fatai Adedoyin & Festus Victor Bekun, 2022. "How does energy investment affect the energy utilization-growth-tourism nexus? Evidence from E7 Countries," Energy & Environment, , vol. 33(2), pages 354-376, March.
  19. Yuruixian Zhang & Wei Chong Choo & Yuhanis Abdul Aziz & Choy Leong Yee & Jen Sim Ho, 2022. "Go Wild for a While? A Bibliometric Analysis of Two Themes in Tourism Demand Forecasting from 1980 to 2021: Current Status and Development," Data, MDPI, vol. 7(8), pages 1-38, July.
  20. Zhang, Yishuo & Li, Gang & Muskat, Birgit & Law, Rob & Yang, Yating, 2020. "Group pooling for deep tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 82(C).
  21. Li, Xin & Xu, Yechi & Law, Rob & Wang, Shouyang, 2024. "Enhancing Tourism Demand Forecasting with a Transformer-based Framework," SocArXiv 5ezn3_v1, Center for Open Science.
  22. Xi Wu & Adam Blake, 2023. "The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China," SAGE Open, , vol. 13(1), pages 21582440231, January.
  23. Richard T.R. Qiu & Doris Chenguang Wu & Vincent Dropsy & Sylvain Petit & Stephen Pratt & Yasuo Ohe, 2021. "TOURIST ARRIVAL FORECAST AMID COVID-19: A perspective from the Asia and Pacific team," Post-Print hal-03138092, HAL.
  24. Hu, Yi-Chung, 2023. "Air passenger flow forecasting using nonadditive forecast combination with grey prediction," Journal of Air Transport Management, Elsevier, vol. 112(C).
  25. Bi, Jian-Wu & Li, Hui & Fan, Zhi-Ping, 2021. "Tourism demand forecasting with time series imaging: A deep learning model," Annals of Tourism Research, Elsevier, vol. 90(C).
  26. Li, Xin & Xu, Yechi & Law, Rob & Wang, Shouyang, 2024. "Enhancing tourism demand forecasting with a transformer-based framework," Annals of Tourism Research, Elsevier, vol. 107(C).
  27. Yan Wang & Tong Lin, 2023. "A Novel Deterministic Probabilistic Forecasting Framework for Gold Price with a New Pandemic Index Based on Quantile Regression Deep Learning and Multi-Objective Optimization," Mathematics, MDPI, vol. 12(1), pages 1-21, December.
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