design
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design [2012/05/07 08:24] matt |
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| >The simulation-based approach allows one to start the model-based optimization of experiments at an early stage of the parameter estimation process, in situations where the classical design criteria are not available... | >The simulation-based approach allows one to start the model-based optimization of experiments at an early stage of the parameter estimation process, in situations where the classical design criteria are not available... | ||
| - | Extends **Muller, P., Sanso, B., and De Iorio, M. (2004), “Optimal Bayesian Design by Inhomogeneous Markov Chain | + | Use the term "Experimental Map" to refer to a distribution of designs. |
| - | Simulation,” Journal of the American Statistical Association, 99 (467), 788–798**. This is "Bayesian simulation-based optimal design". | + | |
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| - | Use the term "Experimental Map". | + | |
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| + | ==== Further Reading ==== | ||
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| + | === Optimal Design === | ||
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| + | **Han, C., and Chaloner, K. (2004), “Bayesian Experimental Design for Nonlinear Mixed-Effects Models With Application to HIV Dynamics,” Biometrics, 60, 25–33.** | ||
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| + | **Muller, P., Sanso, B., and De Iorio, M. (2004), “Optimal Bayesian Design by Inhomogeneous Markov Chain Simulation,” Journal of the American Statistical Association, 99 (467), 788–798**. This is "Bayesian simulation-based ptimal design". | ||
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| + | === Differential Equations === | ||
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| + | **Liang, H., and Wu, H. (2008), “Parameter Estimation for Differential Equation Models Using a Framework of Measurement Error in Regression Models,” Journal of the American Statistical Association, 103, 1570–1583.** | ||
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| + | **Ramsay, J. O., Hooker, G., Campbell, D., and Cao, J. (2007), “Parameter Estimation for Differential Equations: A Generalized Smoothing Approach” (with discussion), Journal of the Royal Statistical Society, Ser. B, 69, 741–796** | ||
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design.txt · Last modified: 2017/09/20 19:05 (external edit)
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