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A new approach to modelling and forecasting monthly guest nights in hotels

Brännäs, Kurt; Hellström, Jörgen; Nordström, Jonas - 1999

Persistent link: https://www.econbiz.de/10001398533

Regional Tourism Demand Forecasting with Machine Learning Models : Gaussian Process Regression vs. Neural Network Models in a Multiple-Input Multiple-Output Setting

Claveria, Oscar - 2017

This study presents a multiple-input multiple-output (MIMO) approach for multi-step-ahead time series prediction with a Gaussian process regression (GPR) model. We assess the forecasting performance of the GPR model with respect to several neural network architectures. The MIMO setting allows...

Persistent link: https://www.econbiz.de/10012959523

Tourism Demand Forecasting with Different Neural Networks Models

Claveria, Oscar - 2014

This paper aims to compare the performance of different Artificial Neural Networks techniques for tourist demand …

Persistent link: https://www.econbiz.de/10013045968

A Multivariate Neural Network Approach to Tourism Demand Forecasting

Claveria, Oscar - 2014

international tourism demand to Catalonia (Spain) from 2001 to 2012. By means of cointegration analysis we find that growth rates of …This study compares the performance of different Artificial Neural Networks models for tourist demand forecasting in a …

Persistent link: https://www.econbiz.de/10013045969

International tourism demand forecasting with machine learning models : the power of the number of lagged inputs

Bi, Jian-Wu; Han, Tian-Yu; Li, Hui - In: Tourism economics : the business and finance of tourism … 28 (2022) 3, pp. 621-645

Persistent link: https://www.econbiz.de/10013267939

Tourism demand forecasting by improved dynamic process neural network

Zhang, Peiyin; Dai, Bing - 2011

Persistent link: https://www.econbiz.de/10009012880

New developments in tourism and hotel demand modeling and forecasting

Wu, Chenguang; Song, Haiyan; Shen, Shujie - In: International journal of contemporary hospitality management 29 (2017) 1, pp. 507-529

Persistent link: https://www.econbiz.de/10011611280

Forecasting seasonal tourism demand using a multiseries structural time series method

Chen, Jason Li; Li, Gang; Wu, Chenguang; Shen, Shujie - In: Journal of travel research : a quarterly publication of … 58 (2019) 1, pp. 92-103

Persistent link: https://www.econbiz.de/10011982242

Bagging in tourism demand modeling and forecasting

Athanasopoulos, George; Song, Haiyan; Sun, Jonathan A. - In: Journal of travel research : a quarterly publication of … 57 (2018) 1, pp. 52-68

Persistent link: https://www.econbiz.de/10011915335

Forecasting tourism demand using search query data : a hybrid modelling approach

Wen, Long; Liu, Chang; Song, Haiyan - In: Tourism economics : the business and finance of tourism … 25 (2019) 3, pp. 309-329

Persistent link: https://www.econbiz.de/10012181972