Keywords

#bayesian_experimental_design

Bayesian experimental design

Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived. It is based on Bayesian inference to interpret the observations/data acquired during the experiment. This allows accounting for both any prior knowledge on the parameters to be determined as well as uncertainties in observations.

Mon 19th

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Bayesian experimental design Optimal experimental design Design of experiments Kullback–Leibler divergence Bayesian optimization Oscar Kempthorne List of things named after Thomas Bayes Quasi-experiment Kathryn Chaloner Bayesian quadrature
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