P. Sebastiani and R. Settimi. First-order optimal designs for non-linear models. J. Stat. Plan. Inf., 74:177--192, 1998. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Bayesian Experimental Design and Shannon Information - Sebastiani, Wynn (1997) (1 citation) Self-citation (Sebastiani) (Correct)
....of other approximations. A design minimizing (5) is called (asymptotic) D optimal. A first order approximation of (5) about the prior mean 0 yields local D optimality: Gamma log det I( 0 ) Application of this approximation to experimental designs for generalized linear model is given in Sebastiani and Settimi (1997, 1998). From a computational point of view, the mes principle replaces sometimes difficult computations with conditional densities by computations with the full marginal density of the observations: p(yj ) R Omega p(y; j )p( d . Thus we need to maximize Ent(Y j ) Gamma Z Y ....
Sebastiani, P., & Settimi, R. (1998). First-order optimal designs for nonlinear models. J.Statist.Plann.Inf., To appear.
Bayesian Adaptive Exploration - Loredo, Chernoff (2003) (4 citations) (Correct)
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P. Sebastiani and R. Settimi. First-order optimal designs for non-linear models. J. Stat. Plan. Inf., 74:177--192, 1998.
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