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Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming-Based Approach
This paper uses semidefinite programming (SDP) to construct Bayesian optimal design for nonlinear regression models. The setup here extends the formulation of the optimal designs problem as an SDP problem from linear to nonlinear models. Gaussian quadrature formulas (GQF) are used to compute the exp...
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| Foilsithe in: | Int Stat Rev |
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| Main Authors: | , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
2014
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4620086/ https://ncbi.nlm.nih.gov/pubmed/26512159 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/insr.12073 |
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