## Bayesian optimal designs for approximate normality |

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4>i optimal design a-connection Amari Bates and Watts Bayesian design Bayesian optimal designs compound design problem concave functions confidence regions constrained design problem constrained optimal designs constraint cutoff corresponds curvature constraint curvature summaries D-optimal defined defun denote design criterion design measure design points design region design variables directional derivative efficiency equal mass equivalence theorem estimator exact design expectation surface exponential families find-opt-design Fisher information matrix inner product Kass and Slate Kronecker product Lagrange multiplier linear model log likelihood maximum parameter effects maximum total curvature methods model function nonlinear design problems nonlinear models nonlinear regression nonlinear regression model normal approximation normal distribution parameter effects array parameter effects curvature parameterization plots point designs posterior distribution precision matrix prior distribution QR decomposition quadratic reparameterization replicating sample space second derivatives select theta starting design Statist support points tangent space third derivative array total curvature unstandardized values vector XLISP-STAT zero intrinsic curvature