Bayesian experimental design
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Bayesian experimental design involves the optimal allocation of resources in an experiment, with the aim of optimising cost and… Expand Bayesian experimental design is a fast growing area of research with many real-world applications. As computational power has… Expand The optimal selection of experimental conditions is essential to maximizing the value of data for inference and prediction… Expand In this study, an efficient full Bayesian approach is developed for the optimal sampling well location design and source… Expand The problem of optimal data collection to efficiently learn the model parameters of a graphite nitridation experiment is studied… Expand A multi-attribute, stated-preference approach is used to value low and high impact actions on four major landscape components… Expand In the standard type of phase II efficacy trial, patients are assigned to a dose from among those being considered (usually 4 to… Expand This entry provides an overview of experimental design using a Bayesian decision-theoretic framework. Scientific experimentation… Expand Part I. Fundamentals Introduction Some key ideas Experimental strategies The choice of a model Models and least squares Criteria… Expand Abstract A traditional way to design a binary response experiment is to design the experiment to be most efficient for a best… Expand