On Tracking Varying Bounds When Forecasting Bounded Time Series
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Publication:6637491
DOI10.1080/00401706.2024.2350421MaRDI QIDQ6637491
Amandine Pierrot, Pierre Pinson
Publication date: 13 November 2024
Published in: Technometrics (Search for Journal in Brave)
Cites Work
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- Ignorability and coarse data
- Beta regression for time series analysis of bounded data, with application to Canada Google\(^{\circledR}\) Flu Trends
- The role of the information set for forecasting -- with applications to risk management
- Two Moments of the Logitnormal Distribution
- On the Generalization Ability of On-Line Learning Algorithms
- TIME SERIES ANALYSIS OF BOUNDED ECONOMIC VARIABLES
- Adaptive modelling and forecasting of offshore wind power fluctuations with Markov‐switching autoregressive models
- Ignorability and Coarse Data: Some Biomedical Examples
- Convex Optimization in Signal Processing and Communications
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Probabilistic Forecasts, Calibration and Sharpness
- Prediction, Learning, and Games
- SYSTEMS OF FREQUENCY CURVES GENERATED BY METHODS OF TRANSLATION
- The Inventory Problem
- Very-short-term probabilistic forecasting of wind power with generalized logit-normal distributions
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