Uncertainty in Forecasting
Kyle and Henning discuss the concept of uncertainty in forecasting and how users can evaluate the confidence of their forecasts. They explore the data likelihood and error bounds, as well as the potential for generalizing the model assumptions. The conversation also touches on modeling phenomena like energy consumption and atmospheric chemistry.In this clip
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Data Skeptic
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