Search Results for author: Guanxun Li

Found 1 papers, 0 papers with code

Importance is Important: A Guide to Informed Importance Tempering Methods

no code implementations13 Apr 2023 Guanxun Li, Aaron Smith, Quan Zhou

Informed importance tempering (IIT) is an easy-to-implement MCMC algorithm that can be seen as an extension of the familiar Metropolis-Hastings algorithm with the special feature that informed proposals are always accepted, and which was shown in Zhou and Smith (2022) to converge much more quickly in some common circumstances.

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