Retraining as Approximate Bayesian Inference
Harrison Katz
Foresight: The International Journal of Applied Forecasting, 2026, issue 81, 43-48
Abstract:
Model retraining is usually treated as an ongoing maintenance task. But as the author argues, retraining can be better understood as approximate Bayesian inference under computational constraints. Copyright International Institute of Forecasters, 2026
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:for:ijafaa:y:2026:i:81:p:43-48
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