On the feasibility of semi-algebraic sets in poisson regression

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Abstract

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 semialgebraic. We investigate regions of optimality using computer tools such as yalmip, qepcad, and Mathematica.

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Kahle, T. (2016). On the feasibility of semi-algebraic sets in poisson regression. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9725, pp. 142–147). Springer Verlag. https://doi.org/10.1007/978-3-319-42432-3_18

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