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Probabilistic Forecasting with Attention Weights

Representing Uncertainty using Probability Density Functions

From an information theory perspective, the probability density function (pdf) contains all the information associated with a random variable. The pdf representation provides the full probability distributions. From the pdf the decision maker can decide which uncertainty form of representation is best suited for the problem at hand. Model Predictions Animation

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