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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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Related topics

Related topics

12 relations
Active learning (machine learning)Bayesian optimizationDifferential entropyGambling and information theory

Broader (4)

Design of experimentsIndustrial engineeringOperations researchSystems engineering

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Optimizing Natural Killer Cell Doses for Heterogeneous Cancer Patients Based on Multiple Event Times
A sequentially adaptive Bayesian design is presented for a clinical trial of cord blood derived natural killer cells to treat… 
2017
2017
An estimation approach for linear stochastic systems based on characteristic functions
2016
2016
Bayesian Design of Special Type of Double Sampling Plans for Compliance Testing
Bayesian acceptance sampling plans, which utilize prior information on the process variation, can be employed as an alternative… 
2012
2012
Planning Simple Step-Stress Accelerated Life Tests Using Bayesian Methods
This study proposes Bayesian methods for planning optimal simple step-stress accelerated life tests. The Bayesian approach is an… 
2010
2010
A Bayesian experimental design approach to structural health monitoring
Optimal system design for SHM involves two primarily challenges. The first is the derivation of a proper performance function for… 
2008
2008
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores… 
2006
2006
Optimal designs for the measurement of consumer preferences.
To date, no attempt has been made to design efficient conjoint choice experiments by means of the Gand V-optimality criteria… 
2005
2005
Integrated Bayesian Experimental Design
Any scientist planning experiments wants to optimize the design of a future experiment with respect to best performance within… 
1996
1996
Robust Bayesian design and analysis of clinical trials via prior partitioning
Unlike traditional approaches, Bayesian methods enable formal combination of expert opinion and objective information into… 
1984
1984
Bayesian Design of Decision Rules for Failure Detection
The formulation of the decision making process of a failure detection algorithm as a Bayes sequential decision problem provides a… 
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