On the feasibility of semi-algebraic sets in Poisson regression
Statistics Theory
2017-02-22 v1 Optimization and Control
Statistics Theory
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.
Keywords
Cite
@article{arxiv.1605.00265,
title = {On the feasibility of semi-algebraic sets in Poisson regression},
author = {Thomas Kahle},
journal= {arXiv preprint arXiv:1605.00265},
year = {2017}
}
Comments
Extended abstract for ICMS 2016 in Berlin. 6 pages