Approximate laplace importance sampling for the estimation of expected shannon information gain in high-dimensional bayesian design for nonlinear models

HIGHLIGHTS

• who: Yiolanda Englezou from the KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus have published the article: Approximate Laplace importance sampling for the estimation of expected Shannon information gain in high-dimensional Bayesian design for nonlinear models, in the Journal: (JOURNAL)
• what: The authors focus on Shannon information gain one of the most widely used utilities when the experimental goal is parameter inference. The authors compare the performance of various methods for approximating expected Shannon information gain in common nonlinear models from the literature with a particular emphasis on Laplace (LIS . . .
  

   

  

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