Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/114995
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Type: | Journal article |
Title: | An induced natural selection heuristic for finding optimal Bayesian experimental designs |
Author: | Price, D. Bean, N. Ross, J. Tuke, J. |
Citation: | Computational Statistics and Data Analysis, 2018; 126(C):112-124 |
Publisher: | Elsevier |
Issue Date: | 2018 |
ISSN: | 0167-9473 1872-7352 |
Statement of Responsibility: | David J. Price, Nigel G. Bean, Joshua V. Ross, Jonathan Tuke |
Abstract: | Abstract not avialable |
Keywords: | Bayesian optimal design; optimisation heuristic; stochastic models; sampling windows |
Rights: | © 2018 Elsevier B.V. All rights reserved. |
DOI: | 10.1016/j.csda.2018.04.011 |
Grant ID: | http://purl.org/au-research/grants/arc/FT130100254 |
Published version: | http://dx.doi.org/10.1016/j.csda.2018.04.011 |
Appears in Collections: | Aurora harvest 7 Mathematical Sciences publications |
Files in This Item:
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hdl_114995.pdf | Submitted version | 1.18 MB | Adobe PDF | View/Open |
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