Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming-Based Approach-Reference-Cited by-同舟云学术

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Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming-Based Approach

Published:2014-10-14 Issue:2 Volume:83 Page:239-262
ISSN:0306-7734
Container-title:International Statistical Review
language:en
Short-container-title:International Statistical Review

Author:

Duarte Belmiro P. M.¹²,Wong Weng Kee³

Affiliation:

1. Department of Chemical and Biological Engineering, ISEC; Polytechnic Institute of Coimbra; R. Pedro Nunes 3030-199 Coimbra Portugal

2. GEPSI, CIEPQPF, Department of Chemical Engineering; University of Coimbra; R. Sílvio Lima, Pólo II 3030-790 Coimbra Portugal

3. Department of Biostatistics; Fielding School of Public Health, UCLA; 10833 Le Conte Ave. Los Angeles CA 90095-1772 USA

Funder

National Institute of General Medical Sciences of the National Institutes of Health

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/insr.12073/fullpdf

Reference56 articles.

1. Second-order cone programming;Alizadeh;Math. Program.,2003

2. Lectures on Modern Convex Optimization

3. An Introduction to Optimal Designs for Social and Biomedical Research

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