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… (More)
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Topic mentions per year

Topic mentions per year

1980-2017
0204019802017

Papers overview

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2015
2015
Utility functions in Bayesian experimental design are usually based on the posterior distribution. When the posterior is found by… (More)
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2014
2014
Optimal experimental design (OED) seeks experiments expected to yield the most useful data for some purpose. In practical… (More)
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2013
2013
The optimal selection of experimental conditions is essential to maximizing the value of data for inference and prediction… (More)
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2011
2011
In this paper, we merge Bayesian experimental design with turbo approximate message passing (AMP) algorithms for the purpose of… (More)
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Highly Cited
2008
Highly Cited
2008
We relate compressed sensing (CS) with Bayesian experimental design and provide a novel efficient approximate method for the… (More)
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2008
2008
We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores… (More)
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2008
2008
The design of fusion diagnostics is essential for the physics program of future fusion devices. The goal is to maximize the… (More)
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Highly Cited
2001
Highly Cited
2001
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in… (More)
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Review
1995
Review
1995
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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Highly Cited
1995
Highly Cited
1995
When modeling a probability distribution with a Bayesian network, we are faced with the problem of how to handle continuous vari… (More)
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