On the feasibility of semi-algebraic sets in Poisson regression
arXiv:1605.00265 · doi:10.1007/978-3-319-42432-3_18
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 semi-algebraic. We investigate regions of optimality using computer tools such as yalmip, qepcad, and Mathematica.
Extended abstract for ICMS 2016 in Berlin. 6 pages