J. M. Pinar Pérez, R. Morales Arsenal

The density functions of the predictions, known as fan charts, describe the whole uncertainty associated with the future values of the random variable under analysis. This greater amount of information improves the decision-making process of the decision-maker regardless of the loss function it has. In this work, these density functions are evaluated using R and Python software. Applying it to the case of the design of fiscal policy in Spain.

Keywords: Forecasting, uncertainty, decision-making, routine comparison

Scheduled

GT20 Software and Computing for Statistics and Operations Research (SOCEIO)
June 9, 2022  12:00 PM
Grade Hall


Other papers in the same session

Algoritmo Min-Max-Median para problemas de clasificación binaria.

R. Aznar Gimeno, L. M. Esteban, G. Sanz, R. del Hoyo-Alonso

Expert system for $CO_2$ concentration level forecast in classrooms

M. Oviedo de la Fuente, V. Teodoro, C. J. Escudero, M. Febrero-Bande

Unit testing in Statistical Software: an implementation in the SixSigma R package

P. Martínez Vaquero, E. López Cano, J. Martínez Moguerza


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