Rate-optimal refinement strategies for local approximation MCMC

Abstract Many Bayesian inference problems involve target distributions whose density functions are computationally expensive to evaluate. Replacing the target density with a local approximation based on a small number of carefully chosen density evaluations can significantly reduce th...

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Dettagli Bibliografici
Autori principali: Davis, Andrew D., Marzouk, Youssef, Smith, Aaron, Pillai, Natesh
Altri autori: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Natura: Articolo
Lingua:English
Pubblicazione: Springer US 2022
Accesso online:https://hdl.handle.net/1721.1/144274