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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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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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2013
2013
In this study, an efficient full Bayesian approach is developed for the optimal sampling well location design and source… Expand
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Highly Cited
2010
Highly Cited
2010
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of… Expand
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Highly Cited
2010
Highly Cited
2010
Comments and suggestions regarding this draft document should be submitted within 90 days of publication in the Federal Register… Expand
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2009
2009
We consider the problem of designing for complex high-dimensional computer models that can be evaluated at different levels of… 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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2005
2005
Any scientist planning experiments wants to optimize the design of a future experiment with respect to best performance within… 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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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
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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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