Dynamic hierarchical state space forecasting

DOI10.1002/sim.10097zbMATH Open1546.62483MaRDI QIDQ6615915

Ziyue Liu, Wensheng Guo

Publication date: 8 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

time seriesforecastingstate space modelsinternal timeCOVID-19

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Random-Effects Models for Longitudinal Data
• Bayesian forecasting and dynamic models.
• Functional data analysis.
• Functional Mixed Effects Models
• The Signal Extraction Approach to Nonlinear Regression and Spline Smoothing
• DYNAMIC STATE-SPACE MODELS
• Covariances for smoothed estimates in state space models
• A geometrical derivation of the fixed interval smoothing algorithm
• Curve Registration
• Nonparametric spline regression with prior information
• A new look at the statistical model identification

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