Optimal Designs for Discrete Choice Models Via Graph Laplacians
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In discrete choice experiments, the information matrix depends on the model parameters. Therefore designing optimally informative experiments for arbitrary initial parameters often yields highly nonlinear optimization problems and makes optimal design infeasib... ...
