Sample Adaptive MCMC
Michael H. Zhu
Department of Computer Science
Stanford University
Stanford, CA 94305
mhzhu@cs.stanford.edu
Abstract
For MCMC methods like Metropolis-Hastings, tuning the proposal distribution is
important in practice for effective sampling from the target distribution π. In this
paper, we present Sample Adaptive MCMC (SA-MCMC), a MCMC method ...


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