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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.
2019
2019
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
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…
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2016
2016
Decentralized Hypothesis Testing in Sensor Networks
A. Tarighati
2016
Corpus ID: 15925347
Wireless sensor networks (WSNs) play an important role in the future ofInternet of Things IoT systems, in which an entire…
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2016
2016
CHOICE OF THE PRIOR IN THE BAYESIAN DESIGN FOR THE CLINICAL TRIALS.
Z. Djeridi
,
H. Merabet
2016
Corpus ID: 56135291
Bayesian statistics have the advantage of being easily established and derived. Thus, we will use this approach to find the…
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2015
2015
The approximate coordinate exchange algorithm for Bayesian optimal design of experiments
A. Overstall
,
D. Woods
2015
Corpus ID: 52037238
Optimal Bayesian experimental design typically involves maximising the expectation, with respect to the joint distribution of…
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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
INVERSE PROBLEMS doi:10.1088/0266-5611/24/3/034014 Generalizing resolution
2008
Corpus ID: 17330078
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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2001
2001
Optimal Bayesian design applied to volume yield and optimal cutting time prediction
M. Paulo
,
A. Otten
2001
Corpus ID: 61101268
1997
1997
Optimal weighted bayesian design applied to dose-response-curve analysis
S. Lauer
,
J. Timmer
,
D. Calker
,
D. Maier
,
J. Honerkamp
1997
Corpus ID: 643238
Designs for nonlinear regression models depend on some prior information about the unknown parameters. There are three primary…
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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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