Evaluation of Probabilistic Forecasts: Proper Scoring Rules and Moments
The paper provides an overview of probabilistic forecasting and discusses a theoretical framework for evaluation of probabilistic forecasts which is based on proper scoring rules and moments. An artificial example of predicting second-order autoregression and an example of predicting the RTSI stock index are used as illustrations.
|Date of creation:||18 Mar 2013|
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