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On the feasibility of semi-algebraic sets in Poisson regression (1605.00265v1)
Published 1 May 2016 in math.ST, math.OC, and stat.TH
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.
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