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Bayesian experimental design

Known as: Bayes optimum design, Optimal Bayesian experiment, Bayesian design of optimal experiment 
Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived. It… Expand
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Papers overview

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2019
2019
Bayesian experimental design involves the optimal allocation of resources in an experiment, with the aim of optimising cost and… Expand
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Review
2016
Review
2016
Bayesian experimental design is a fast growing area of research with many real-world applications. As computational power has… Expand
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Highly Cited
2013
Highly Cited
2013
The optimal selection of experimental conditions is essential to maximizing the value of data for inference and prediction… Expand
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Highly Cited
2013
Highly Cited
2013
In this study, an efficient full Bayesian approach is developed for the optimal sampling well location design and source… Expand
2011
2011
The problem of optimal data collection to efficiently learn the model parameters of a graphite nitridation experiment is studied… Expand
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Highly Cited
2007
Highly Cited
2007
A multi-attribute, stated-preference approach is used to value low and high impact actions on four major landscape components… Expand
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Highly Cited
2002
Highly Cited
2002
In the standard type of phase II efficacy trial, patients are assigned to a dose from among those being considered (usually 4 to… Expand
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Review
2001
Review
2001
This entry provides an overview of experimental design using a Bayesian decision-theoretic framework. Scientific experimentation… Expand
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Highly Cited
1992
Highly Cited
1992
Part I. Fundamentals Introduction Some key ideas Experimental strategies The choice of a model Models and least squares Criteria… Expand
Highly Cited
1989
Highly Cited
1989
Abstract A traditional way to design a binary response experiment is to design the experiment to be most efficient for a best… Expand
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