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Big data from dynamic pricing : a smart approach to tourism demand forecasting

Guizzardi, Andrea; Pons, Flavio Maria Emanuele; … - In: International journal of forecasting 37 (2021) 3, pp. 1049-1060

Persistent link: https://www.econbiz.de/10012794793

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

Modelling International Tourism Demand Using Seasonal ARIMA Models

Baldigara, Tea - 2015

capture and explain the patterns and the determinants of German tourism demand in Croatia.Design – The present study is based … development strategies, pricing strategies and tourism sector routing strategies in Croatia, as a predominantly tourism oriented …

Persistent link: https://www.econbiz.de/10013020167

The determinants of air passenger traffic at Turkish airports

Albayrak, Muhammed Bilge Kağan; Özcan, İsmail Çağrı; … - In: Journal of air transport management 86 (2020), pp. 1-10

Persistent link: https://www.econbiz.de/10012253174

Modelling tourism demand to Spain with machine learning techniques : the impact of forecast horizon on model selection

Claveria, Oscar; Torra, Salvador; Monte, Enric - In: Revista de economía aplicada : REA 24 (2016) 72, pp. 109-132

Persistent link: https://www.econbiz.de/10012261644

Forecasting tourism demand by incorporating neural networks into Grey-Markov models

Hu, Yi-Chung; Jiang, Peng; Lee, Ping-Chuan - In: Journal of the Operational Research Society 70 (2019) 1, pp. 12-20

Persistent link: https://www.econbiz.de/10012211647

Data source combination for tourism demand forecasting

Hu, Mingming; Song, Haiyan - In: Tourism economics : the business and finance of tourism … 26 (2020) 7, pp. 1248-1265

Persistent link: https://www.econbiz.de/10012310080

Forecasting tourism demand using the trend models method : evidence from Indonesia

Kusumastuti, Henni; Novalia; Anum, Adelina - In: The future opportunities and challenges of business in …, (pp. 112-115). 2020

Persistent link: https://www.econbiz.de/10012311123