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Can tax incentives foresee the restructuring performance of tourism firms? : an event-driven forecasting study

He, Ling-Yang; Li, Hui; Chen, Xi-Zhuo; Yu, Lean - In: Tourism management : research, policies, practice 102 (2024), pp. 118

Persistent link: https://www.econbiz.de/10014457769

Cluster-based demand forecasting using Bayesian model averaging : an ensemble learning approach

Seyedan, Mahya; Mafakheri, Fereshteh; Wang, Chun - In: Decision analytics journal 3 (2022), pp. 1-11

Demand forecasting is an important aspect in supply chain management that could contribute to enhancing the profit and … increasing the efficiency by aligning the supply channels with anticipated demand. In the retail industry, customers and their … needs are diverse making demand forecasting a challenging task. In this regard, this study aims at developing a three …

Persistent link: https://www.econbiz.de/10013339183

Novel deep learning approach for forecasting daily hotel demand with agglomeration effect

Huang, Liyao; Zheng, Weimin - In: International journal of hospitality management 98 (2021), pp. 1-11

Persistent link: https://www.econbiz.de/10013198481

DeepAR : probabilistic forecasting with autoregressive recurrent networks

Salinas, David; Flunkert, Valentin; Gasthaus, Jan; … - In: International journal of forecasting 36 (2020) 3, pp. 1181-1191

Persistent link: https://www.econbiz.de/10012498611

Managing demand volatility of pharmaceutical products in times of disruption through news sentiment analysis

Nguyen, Angie; Pellerin, Robert; Lamouri, Samir; … - In: International journal of production research 61 (2023) 9, pp. 2829-2840

Persistent link: https://www.econbiz.de/10014323532

Prediction of daily tourism volume based on maximum correlation minimum redundancy feature selection and long short-term memory network

Ming, Yin; Lu, Feiya; Zhuo, Xingxuan; Yao, Wangzi; Liu, … - In: Journal of forecasting 43 (2024) 2, pp. 344-365

Persistent link: https://www.econbiz.de/10014475324

Forecasting Australian inbound tourism in light of data structure using deep learning

Herrera, Gabriel Paes; Oliveira, Michel Angelo … - In: Tourism analysis : an interdisciplinary tourism & … 28 (2023) 1, pp. 107-124

Persistent link: https://www.econbiz.de/10014423402

Macroeconomic and financial market analyses and predictions through deep learning

Kim, Soohyon - 2020

Persistent link: https://www.econbiz.de/10012546997

A deep learning ensemble approach for crude oil price forecasting

Zhao, Yang; Li, Jianping; Yu, Lean - In: Energy economics 66 (2017), pp. 9-16

Persistent link: https://www.econbiz.de/10011896417

Cryptocurrency price forecasting : a comparative analysis of ensemble learning and deep learning methods

Bouteska, Ahmed; Abedin, Mohammad Zoynul; Hájek, Petr; … - In: International review of financial analysis 92 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10014492430