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Sequential DOE via dynamic programming
Irad Ben-Gal
*
, Michael Caramanis
*
Corresponding author for this work
Department of Industrial Engineering
Boston University
Research output
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Contribution to journal
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Article
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peer-review
23
Scopus citations
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Keyphrases
Dynamic Programming
100%
Sequential Design of Experiments
100%
Stochastic Dynamic Programming
100%
Feasible Set
50%
Information Measures
50%
Design of Experiments
50%
Information Theory
50%
Incremental Information
50%
Acquiring Information
50%
Criteria-based
50%
Number of Experiments
50%
Numerical Implementation
50%
Noise Terms
50%
Gaussian Noise
50%
Programming Framework
50%
Cost-to-go Function
50%
Experiment Scheme
50%
Imperfect State Information
50%
Information Criteria
50%
Economic Statistics
50%
Optimal Experimentation
50%
Optimal Experimental Design
50%
Mathematics
Experimental Design
100%
Sequential Design
100%
Stochastic Dynamic Program
50%
Linear Models
25%
Gaussian Distribution
25%
Information Theory
25%
Tradeoff
25%
Optimal Design
25%
Information State
25%
Information Criterion
25%
Feasible Set
25%
Computer Science
Dynamic Programming
100%
Stochastic Dynamic Program
100%
Information Theory
50%
Gaussian White Noise
50%
Programming Framework
50%
State Information
50%
Information Criterion
50%
Engineering
Design of Experiments
100%
Dynamic Programming
100%
Stochastic Dynamic
50%
Illustrates
25%
Numerical Implementation
25%
Optimal Design
25%
Gaussian White Noise
25%
Noise Term
25%
State Information
25%
Feasible Set
25%
Economics, Econometrics and Finance
Dynamic Programming
100%
Experimental Design
100%