Bayesian Experimental Design - Mathematical Formulation

Mathematical Formulation

Notation
parameters to be determined
observation or data
design
PDF for making observation, given parameter values and design
prior PDF
marginal PDF in observation space
posterior PDF
utility of the design
utility of the experiment outcome after observation with design

Given a vector of parameters to determine, a prior PDF over those parameters and a PDF for making observation, given parameter values and an experiment design, the posterior PDF can be calculated using Bayes' theorem

where is the marginal probability density in observation space

The expected utility of an experiment with design can then be defined

where is some real-valued functional of the posterior PDF after making observation using an experiment design .

Read more about this topic:  Bayesian Experimental Design

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