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Outlier detection in network revenue management

Rennie, Nicola; Cleophas, Catherine; Sykulski, Adam M.; … - In: OR spectrum : quantitative approaches in management 46 (2024) 2, pp. 445-511

Persistent link: https://www.econbiz.de/10014566071

Forecasting hotel demand uncertainty using time series Bayesian VAR models

Ampountolas, Apostolos - In: Tourism economics : the business and finance of tourism … 25 (2019) 5, pp. 734-756

Persistent link: https://www.econbiz.de/10012182109

Comparison of forecasting techniques in revenue management for a national railway in an emerging Asian economy

Dutta, Goutam; Marodia, Divya Pachisia - In: International journal of revenue management : IJRM 8 (2014/2015) 2, pp. 130-152

Persistent link: https://www.econbiz.de/10011430485

Demand learning and dynamic pricing under competition in a state-space framework

Chung, Byung Do; Li, Jiahan; Yao, Tao; Kwon, Changhyun; … - In: IEEE transactions on engineering management : EM 59 (2012) 2, pp. 240-249

Persistent link: https://www.econbiz.de/10009549682

Does historical data still matter for demand forecasting in uncertain and turbulent times? : an extension of the additive pickup time series method for SME hotels

Heo, Cindy Yoonjoung; Viverit, Luciano; Pereira, Luis Nobre - In: Journal of revenue and pricing management 23 (2024) 1, pp. 39-43

Persistent link: https://www.econbiz.de/10014478869

Forecasting hotel daily room demand with transformed data using time series methods

Naragain Phumchusri; Poonnawit Suwatanapongched - In: Journal of revenue and pricing management 22 (2023) 1, pp. 44-56

Persistent link: https://www.econbiz.de/10013556583

Frequency domain principal components estimation of fractionally cointegrated processes

Morana, Claudio - 2004

In this paper we study the zero frequency spectral properties of fractionally cointegrated long memory processes and introduce a new frequency domain principal components estimator of the cointegration space and the factor loading matrix for the long memory factors. We find that for fractionally...

Persistent link: https://www.econbiz.de/10009636544