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Adaptive and Bayesian Designs

Adaptive and Bayesian Designs

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Author: Dynah Perry
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Adaptive and Bayesian Designs

Adaptive design is to automatically adjust the processing method, processing order, processing parameters, boundary conditions or constraints according to the data characteristics of the processed data in the process of processing and analyzing the data, so as to adapt to the statistical distribution characteristics and structural features of the processed data. The adaptive design aims to learn from the accumulated data and apply what is learned as quickly as possible. Therefore, adaptability is a design to enhance the test, rather than a remedy for inadequate planning.

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