Methods for prediction and rating aggregation
Abstract:
A method determines forecaster biases based on the correlations between prediction errors made by a group of forecasters. The method measures forecaster skills in different areas of expertise based on the correlations between the absolute values of prediction errors made by a group of forecasters. The method uses bias and skill measurements to raise the precision of aggregate forecasts. The method also reduces bias in social network rating systems by linking the ratings with objectively verifiable predictions.
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