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Bayesian experimental design
Known as:
Bayes optimum design
, Optimal Bayesian experiment
, Bayesian design of optimal experiment
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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 optimization
Differential entropy
Gambling and information theory
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Broader (4)
Design of experiments
Industrial engineering
Operations research
Systems 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
Juhee Lee
,
P. Thall
,
K. Rezvani
2018
Corpus ID: 262509404
A sequentially adaptive Bayesian design is presented for a clinical trial of cord blood derived natural killer cells to treat…
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2017
2017
An estimation approach for linear stochastic systems based on characteristic functions
M. Idan
,
J. Speyer
at - Automatisierungstechnik
2017
Corpus ID: 7173252
2016
2016
Bayesian Design of Special Type of Double Sampling Plans for Compliance Testing
R. Vijayaraghavan
,
S. Banumathi
Communications in statistics. Simulation and…
2016
Corpus ID: 205558806
Bayesian acceptance sampling plans, which utilize prior information on the process variation, can be employed as an alternative…
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2012
2012
Planning Simple Step-Stress Accelerated Life Tests Using Bayesian Methods
Tao Yuan
,
Xi Liu
,
W. Kuo
IEEE Transactions on Reliability
2012
Corpus ID: 8706183
This study proposes Bayesian methods for planning optimal simple step-stress accelerated life tests. The Bayesian approach is an…
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2010
2010
A Bayesian experimental design approach to structural health monitoring
C. Farrar
,
Eric B. Flynn
,
M. Todd
2010
Corpus ID: 109237391
Optimal system design for SHM involves two primarily challenges. The first is the derivation of a proper performance function for…
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2008
2008
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
M. Seeger
,
H. Nickisch
,
R. Pohmann
,
B. Scholkopf
Neural Information Processing Systems
2008
Corpus ID: 11985924
We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores…
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2006
2006
Optimal designs for the measurement of consumer preferences.
R. Kessels
2006
Corpus ID: 122828275
To date, no attempt has been made to design efficient conjoint choice experiments by means of the Gand V-optimality criteria…
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2005
2005
Integrated Bayesian Experimental Design
R. Fischer
,
H. Dreier
,
A. Dinklage
,
B. Kurzan
,
E. Pasch
2005
Corpus ID: 7956831
Any scientist planning experiments wants to optimize the design of a future experiment with respect to best performance within…
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1996
1996
Robust Bayesian design and analysis of clinical trials via prior partitioning
D. Sargent
,
B. Carlin
1996
Corpus ID: 118907470
Unlike traditional approaches, Bayesian methods enable formal combination of expert opinion and objective information into…
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1984
1984
Bayesian Design of Decision Rules for Failure Detection
E. Chow
,
A. Willsky
IEEE Transactions on Aerospace and Electronic…
1984
Corpus ID: 19658813
The formulation of the decision making process of a failure detection algorithm as a Bayes sequential decision problem provides a…
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