Forecast reconciliation is the process of aligning and adjusting different forecasts from various sources to ensure consistency and accuracy in predicting future outcomes. This approach acknowledges that human judgment and statistical methods can generate diverse forecasts, and aims to create a unified forecast that reflects both perspectives. By integrating insights from both statistical models and expert opinions, forecast reconciliation enhances decision-making by providing a more reliable and coherent forecast.
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