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Bayesian statistics
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===Design of experiments=== The [[Bayesian design of experiments]] includes a concept called 'influence of prior beliefs'. This approach uses [[sequential analysis]] techniques to include the outcome of earlier experiments in the design of the next experiment. This is achieved by updating 'beliefs' through the use of prior and [[posterior distribution]]. This allows the design of experiments to make good use of resources of all types. An example of this is the [[multi-armed bandit problem]].
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