Parallel tempering

Known as: REMD, Replica Exchange 
Parallel tempering, also known as replica exchange MCMC sampling, is a simulation method aimed at improving the dynamic properties of Monte Carlo… (More)
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2018
2018
Using MCMC to sample from a target distribution, π(x) on a ddimensional state space can be a difficult and computationally… (More)
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2013
2013
Approximate Bayesian Computational (ABC) methods, or likelihood-free methods, have appeared in the past fifteen years as useful… (More)
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2013
2013
The Equi-Energy Sampler (EES) introduced by Kou et al. [2006] is based on a population of chains which are updated by local moves… (More)
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2012
2012
Parallel tempering is a generic Markov chain Monte Carlo sampling method which allows good mixing with multimodal target… (More)
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2012
2012
Markov Chain Monte Carlo (MCMC) is a family of algorithms which is used to draw samples from arbitrary probability distributions… (More)
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2010
2010
Restricted Boltzmann Machines (RBM) have attracted a lot of attention of late, as one the principle building blocks of deep… (More)
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2010
2010
A new interest towards restricted Boltzmann machines (RBMs) has risen due to their usefulness in greedy learning of deep neural… (More)
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Highly Cited
2009
Highly Cited
2009
Markov random fields (MRF’s), or undirected graphical model s, provide a powerful framework for modeling complex dependencies… (More)
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2005
2005
  • Yaohang Li, Charlie E. M. Strauss, Andrey Gorin
  • 2005
Parallel Tempering (PT) is an effective algorithm to overcome the slow convergence in low-temperature protein simulation by… (More)
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Highly Cited
1997
Highly Cited
1997
The effectiveness of a new algorithm, parallel tempering, is studied for numerical simulations of biological molecules. These… (More)
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