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PAWL-Forced Simulated Tempering
Preprint
2013-05-22
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Abstract
In this short note, we show how the parallel adaptive Wang-Landau (PAWL) algorithm
of Bornn et al. (2013) can be used to automate and improve simulated tempering algorithms.
While Wang-Landau and other stochastic approximation methods have frequently been
applied within the simulated tempering framework, this note demonstrates through a
simple example the additional improvements brought about by parallelization, adaptive
proposals and automated bin splitting.