Détermination bayésienne des conditions opératoires maximisant un critère de qualité
Adaptive control for sequential design
The optimal experiment for estimating the parameters of a nonlinear regression model usually depends on the value of these parameters, hence the problem of designing experiments that are robust with respect to parameter uncertainty. Sequential designpermits to adapt the experiment to the value of the parameters, and can thus be considered as a robust design procedure. By designing theexperiments sequentially, one introduces a feedback of information, and thus dynamics, into the design procedure....
Second-order approximation of the entropy in nonlinear least-squares estimation
Erratum: Second-order approximation of the entropy in nonlinear least-squares estimation
Asymptotic criteria for designs in nonlinear regression with model errors
3-dimensional multivertex reconstruction from 2-dimensional tracks observations using likelihood inference
Let be vertices in the -space, each vertex producing several tracks (straight lines) emanating from it within a narrow cone with a small angle about a fixed direction (-axis). Each track is detected (by drift chambers or other detectors) by its projections on and views independently with small errors. An automated method is suggested for the reconstruction of vertices from noisy observations of the tracks projections. The procedure is based on the likelihood inference for mixtures. An illustrative...
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