Using judgment to select and adjust forecasts from statistical models

DOI10.1016/J.EJOR.2020.01.028zbMath1441.62660OpenAlexW2999660138WikidataQ126304525 ScholiaQ126304525MaRDI QIDQ2178117

Shari De Baets, Nigel Harvey

Publication date: 7 May 2020

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://discovery.ucl.ac.uk/id/eprint/10097784/

zbMATH Keywords

forecastingjudgmental adjustmentforecast support systemsjudgmental selection

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Experimental work for problems pertaining to operations research and mathematical programming (90-05)

Related Items (4)

Evaluating human behaviour in response to AI recommendations for judgemental forecasting ⋮ Forecasting with jury-based probabilistic argumentation ⋮ What causes post-decision disappointment? Estimating the contributions of systematic and selection biases ⋮ Forecast adjustments during post-promotional periods

Cites Work

• Evaluating probabilistic forecasts of stock prices in a developing stock market

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