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Abstract Bayesian decision analysis provides a coherent and logical methodology for not only the expression and exploration of potential risks under uncertainty, but also a framework through which to discover an optimal course of action. Uncertainties are expressed probabilistically and optimal acts discovered through maximizing the decision maker's expected utility. The basic methodology is illustrated by a simple example of agricultural risk management.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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