Computational Enhancements to Bayesian Design of Experiments Using Gaussian Processes-Reference-Cited by-同舟云学术

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Computational Enhancements to Bayesian Design of Experiments Using Gaussian Processes

Published:2016-03-01 Issue:1 Volume:11 Page:
ISSN:1936-0975
Container-title:Bayesian Analysis
language:
Short-container-title:Bayesian Anal.

Author:

Weaver Brian P.,Williams Brian J.,Anderson-Cook Christine M.,Higdon David M.

Publisher

Institute of Mathematical Statistics

Subject

Applied Mathematics,Statistics and Probability

Link

http://projecteuclid.org/download/pdfview_1/euclid.ba/1425492493

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Experiment Design with Gaussian Process Regression with Applications to Chance-Constrained Control;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

2. Bayesian sequential optimal experimental design for nonlinear models using policy gradient reinforcement learning;Computer Methods in Applied Mechanics and Engineering;2023-11

3. Bayesian Experimental Design for LEDs using Gaussian Processes;2023 29th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC);2023-09-27

4. Bayesian statistics in catalysis: a perspective;Current Opinion in Chemical Engineering;2022-06

5. Sequential Bayesian Planning for Accelerated Degradation Tests Considering Sensor Degradation;IEEE Transactions on Reliability;2022

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