Exploració per autor "Claveria, Oscar"
Ara es mostren els items 1-17 de 17
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A data-driven approach to construct survey-based indicators by means of evolutionary algorithms
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2016-11-09)
Article
Accés obertIn this paper we propose a data-driven approach for the construction of survey-based indicators using large data sets. We make use of agents’ expectations about a wide range of economic variables contained in the World ... -
A data-driven approach to construct survey-based indicators by means of evolutionary algorithms
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2018-01-09)
Article
Accés obertIn this paper we propose a data-driven approach for the construction of survey-based indicators using large data sets. We make use of agents’ expectations about a wide range of economic variables contained in the World ... -
A multivariate neural network approach to tourism demand forecasting
Claveria, Oscar; Monte Moreno, Enrique; Torra, Salvador (2013-12-04)
Report de recerca
Accés obertThis study compares the performance of different Artificial Neural Networks models for tourist demand forecasting in a multiple-output framework. We test the forecasting accuracy of three different types of architectures: ... -
A new approach for the quantification of qualitative measures of economic expectations
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2016-09-24)
Article
Accés obertIn this study a new approach to quantify qualitative survey data about the direction of change is presented. We propose a data-driven procedure based on evolutionary computation that avoids making any assumption about ... -
A new forecasting approach for the hospitality industry
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2015-10-01)
Article
Accés obertPurpose – This study aims to apply a new forecasting approach to improve predictions in the hospitality industry. To do so, the authors developed a multivariate setting that allows the incorporation of the cross-correlations ... -
Assessment of the effect of the financial crisis on agents’ expectations through symbolic regression
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2016-12-16)
Article
Accés obertAgents’ perceptions on the state of the economy can be affected during economic crises. Tendency surveys are the main source of agents’ expectations. The main objective of this study is to assess the impact of the 2008 ... -
Combination forecasts of tourism demand with machine learning models
Claveria, Oscar; Monte Moreno, Enrique; Torra, Salvador (2015-09-11)
Article
Accés obertThe main objective of this study is to analyse whether the combination of regional predictions generated with machine learning (ML) models leads to improved forecast accuracy. With this aim, we construct one set of forecasts ... -
Data pre-processing for neural network-based forecasting: does it really matter?
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2015-11-04)
Article
Accés obertThis study aims to analyze the effects of data pre-processing on the forecasting performance of neural network models. We use three different Artificial Neural Networks techniques to predict tourist demand: multi-layer ... -
Empirical modelling of survey-based expectations for the design of economic indicators in five European regions
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2018-01-09)
Article
Accés obertIn this study we use agents’ expectations about the state of the economy to generate indicators of economic activity in twenty-six European countries grouped in five regions (Western, Eastern, and Southern Europe, and ... -
Evolutionary computation for macroeconomic forecasting
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2017-11-07)
Article
Accés obertThe main objective of this study is twofold. First, we propose an empirical modelling approach based on genetic programming to forecast economic growth by means of survey data on expectations. We use evolutionary algorithms ... -
Modelling cross-dependencies between Spain’s regional tourism markets with an extension of the Gaussian process regression model
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2016-08-16)
Article
Accés obertThis study presents an extension of the Gaussian process regression model for multiple-input multiple-output forecasting. This approach allows modelling the cross-dependencies between a given set of input variables and ... -
Modelling tourism demand to Spain with machine learning techniques. The impact of forecast horizon on model selection
Claveria, Oscar; Torra Porras, Salvador; Monte Moreno, Enrique (2016-12-01)
Article
Accés obertThis study assesses the influence of the forecast horizon on the forecasting performance of several machine learning techniques. We compare the fo recastaccuracy of Support Vector Regression (SVR) to Neural Network (NN) ... -
Quantification of survey expectations by means of symbolic regression via genetic programming to estimate economic growth in central and eastern european economies
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2016-03-21)
Article
Accés obertTendency surveys are the main source of agents' expectations. This study has a twofold aim. First, it proposes a new method to quantify survey-based expectations by means of symbolic regression (SR) via genetic programming. ... -
The appraisal of machine learning techniques for tourism demand forecasting
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (Nova Science Publishers, Inc., 2017-11-03)
Capítol de llibre
Accés restringit per política de l'editorialMachine learning (ML) methods are being increasingly used with forecasting purposes. This study assesses the predictive performance of several ML models in a multiple-input multiple-output (MIMO) setting that allows ... -
Tourism demand forecasting with neural network models: different ways of treating information
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (John Wiley & Sons, 2014-07-21)
Article
Accés restringit per política de l'editorialThis paper aims to compare the performance of three different artificial neural network techniques for tourist demand forecasting: a multi-layer perceptron, a radial basis function and an Elman network. We find that ... -
Tourism demand forecasting with neural network models: different ways of treating information
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2014-07-21)
Article
Accés restringit per política de l'editorialThis paper aims to compare the performance of three different artificial neural network techniques for tourist demand forecasting: a multi-layer perceptron, a radial basis function and an Elman network. We find that ... -
Using survey data to forecast real activity with evolutionary algorithms. A cross-country analysis
Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (2017-11-01)
Article
Accés obertIn this study we use survey expectations about a wide range of economic variables to forecast real activity. We propose an empirical approach to derive mathematical functional forms that link survey expectations to economic ...