Código QR (código de barras bidimensional)

GEVReg-MIDAS-SSVS for Mixed-Frequency Time Series Interval Forecasting

This study addresses the challenge of frequency mismatches between covariates and responses, known as mixed-frequency data, by using low-frequency variable information to predict high-frequency GEV-distributed variables with the GEVReg-MIDAS model. Furthermore, using an unlimited number of covariate...

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Bibliografiske detaljer
Principais autores: Fairuz Iqbal Zayyan, Dedy Dwi Prastyo, Muhammad Sjahid Akbar, Wolfgang Karl Hardle, Muhammad Hisyam Lee
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2026-01-01
Serier:IEEE Access
Fag:
Online adgang:https://ieeexplore.ieee.org/document/11603339/
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