# On the Feasibility of Semi-algebraic Sets in Poisson Regression

@inproceedings{Kahle2016OnTF, title={On the Feasibility of Semi-algebraic Sets in Poisson Regression}, author={Thomas Kahle}, booktitle={ICMS}, year={2016} }

Designing experiments for generalized linear models is difficult because optimal designs depend on unknown parameters. The local optimality approach is to study the regions in parameter space where a given design is optimal. In many situations these regions are semi-algebraic. We investigate regions of optimality using computer tools such as yalmip, qepcad, and Mathematica.

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