An Information-Theoretic Approach to Optimally Calibrate Approximate Models-Reference-Cited by-同舟云学术

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An Information-Theoretic Approach to Optimally Calibrate Approximate Models

Published:2012-01-09 Issue: Volume: Page:
ISSN:
Container-title:50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition
language:
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Author:

Bryant Corey¹,Terejanu Gabriel¹

Affiliation:

1. University of Texas, Austin

Publisher

American Institute of Aeronautics and Astronautics

Link

http://arc.aiaa.org/doi/pdf/10.2514/6.2012-153

Reference23 articles.

1. Bayesian experimental design for the active nitridation of graphite by atomic nitrogen

2. Bayesian Experimental Design: A Review

3. A Mathematical Theory of Communication

4. On a Measure of the Information Provided by an Experiment

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2. Sequential optimal positioning of mobile sensors using mutual information;Statistical Analysis and Data Mining: The ASA Data Science Journal;2019-07-19

3. Design of Multi-Level Validation Experiments for Multi-Physics Systems;19th AIAA Non-Deterministic Approaches Conference;2017-01-05

4. A trended Kriging model with R2 indicator and application to design optimization;Aerospace Science and Technology;2015-06

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