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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.
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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Review
2016
Review
2016
Bayesian design of experiments for industrial and scientific applications via Gaussian processes
D. Woods
2016
Corpus ID: 30816233
The design of an experiment can be considered to be at least implicitly Bayesian, with prior knowledge used informally to aid…
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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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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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2005
2005
On large sets of t-designs of size four 1
G. Khosrovshahi
,
R. Laue
,
B. Tayfeh-Rezaie
2005
Corpus ID: 11454437
A set of well known necessary conditions for the existence of a large set of t-designs, LS[N ](t, k, v), is N ∣∣∣(v−i k−i) for i…
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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. Van 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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Review
1997
Review
1997
Elements of Bayesian experimental design
D. Sivia
1997
Corpus ID: 114608051
We consider some elements of the Bayesian approach that are important for optimal experimental design. While the underlying…
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1995
1995
Bayesian Clinical Trial Design For CategoricalEndpoint
ModelsAlan E. Gelfand
,
Pantelis K. Vlachos
1995
Corpus ID: 18724832
In the conduct of sequential clinical trials, primary statistical issues include design , monitoring and reporting. Currently…
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