Zobrazeno 1 - 10
of 147
pro vyhledávání: '"CLAVERIA, OSCAR"'
Autor:
Claveria, Oscar, Sorić, Petar
Publikováno v:
Applied Economic Analysis, 2023, Vol. 32, Issue 94, pp. 1-22.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AEA-06-2023-0201
Publikováno v:
In Health and Place September 2024 89
Autor:
Claveria, Oscar
This paper examines the evolution of business and consumer uncertainty amid the coronavirus pandemic in 32 European countries and the European Union (EU).Since uncertainty is not directly observable, we approximate it using the geometric discrepancy
Externí odkaz:
http://arxiv.org/abs/2012.02091
Autor:
Claveria, Oscar
Publikováno v:
IREA Working Papers, 2020/11
This paper evaluates the dynamic response of economic activity to shocks in uncertainty as percieved by agents.The study focuses on the comparison between the perception of economic uncertainty by manufacturers and consumers.Since uncertainty is not
Externí odkaz:
http://arxiv.org/abs/2012.00722
Autor:
Claveria, Oscar1 oclaveria@ub.edu
Publikováno v:
Economics & Business Letters. Jun2024, Vol. 13 Issue 2, p68-81. 14p.
Autor:
Claveria, Oscar
In this study we present a metric of consensus for Likert scales. The measure gives the level of agreement as the percentage of consensus among respondents. The proposed framework allows to design a positional indicator that gives the degree of agree
Externí odkaz:
http://arxiv.org/abs/1809.10493
Publikováno v:
Claveria, O., Monte, E., and Torra, S. (2016): Modelling tourism demand to Spain with machine learning techniques. The impact of forecast horizon on model selection. Revista de Economia Aplicada, 24 (72), 109-132
This study assesses the influence of the forecast horizon on the forecasting performance of several machine learning techniques. We compare the fo recast accuracy of Support Vector Regression (SVR) to Neural Network (NN) models, using a linear model
Externí odkaz:
http://arxiv.org/abs/1805.00878
Publikováno v:
Claveria, O., Monte, E., and Torra, S. (2016): Modelling cross-dependencies between Spain's regional tourism markets with an extension of the Gaussian process regression model. SERIEs, 7 (3), 341-357
This 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 generating a vectorial predicti
Externí odkaz:
http://arxiv.org/abs/1805.00861