Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/99437
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Type: Journal article
Title: On the efficient determination of optimal Bayesian experimental designs using ABC: a case study in optimal observation of epidemics
Author: Price, D.
Bean, N.
Ross, J.
Tuke, J.
Citation: Journal of Statistical Planning and Inference, 2016; 172:1-15
Publisher: Elsevier
Issue Date: 2016
ISSN: 0378-3758
1873-1171
Statement of
Responsibility: 
David J. Price, Nigel G. Bean, Joshua V. Ross, Jonathan Tuke
Abstract: Abstract not available
Keywords: Bayesian optimal design; stochastic epidemic models; Approximate Bayesian Computation
Rights: © 2015 Elsevier B.V. All rights reserved.
RMID: 0030042212
DOI: 10.1016/j.jspi.2015.12.008
Grant ID: http://purl.org/au-research/grants/arc/FT130100254
http://purl.org/au-research/grants/nhmrc/1078068
http://purl.org/au-research/grants/arc/DP110101929
Appears in Collections:Mathematical Sciences publications

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