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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… 
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Papers overview

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2019
2019
  • 2019
  • Corpus ID: 260441554
= Exi∼p(xi|xo) [DKL(q(z|xi,xo)||q(z|xo))] −Exφ ,xi∼p(xφ ,xi|xo) [ DKL(q(z|xφ ,xi,xo)||q(z|xφ ,xo)) ] = R̂(i,xo). This new… 
2018
2018
A sequentially adaptive Bayesian design is presented for a clinical trial of cord blood derived natural killer cells to treat… 
2010
2010
Optimal system design for SHM involves two primarily challenges. The first is the derivation of a proper performance function for… 
2006
2006
To date, no attempt has been made to design efficient conjoint choice experiments by means of the Gand V-optimality criteria… 
2005
2005
Any scientist planning experiments wants to optimize the design of a future experiment with respect to best performance within… 
Review
1997
Review
1997
We consider some elements of the Bayesian approach that are important for optimal experimental design. While the underlying… 
1996
1996
Unlike traditional approaches, Bayesian methods enable formal combination of expert opinion and objective information into… 
1984
1984
The formulation of the decision making process of a failure detection algorithm as a Bayes sequential decision problem provides a…