## Abstract A general Bayesian approach to combining __n__ expert forecasts is developed. Under some moderate assumptions on the distributions of the expert errors, it leads to a consistent, monotonic, quasiβlinear average formula. This generalizes Bordley's results.
Linear combination of forecasts: A general Bayesian model
β Scribed by Dr G. Anandalingam; Dr Lian Chen
- Publisher
- John Wiley and Sons
- Year
- 1989
- Tongue
- English
- Weight
- 809 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0277-6693
No coin nor oath required. For personal study only.
β¦ Synopsis
We provide a general Bayesian model for combining forecasts from experts (or forecasting models) who might be biased and correlated with each other. The combination procedure involves debiasing and then combining unbiased forecasts. We also provide a sequential method for learning about the forecasters' biases in the process of combining information from them.
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