Likelihood-free parallel tempering
نویسندگان
چکیده
منابع مشابه
Likelihood-free parallel tempering
Approximate Bayesian Computational (ABC) methods, or likelihood-free methods, have appeared in the past fifteen years as useful methods to perform Bayesian analysis when the likelihood is analytically or computationally intractable. Several ABC methods have been proposed: MCMC methods have been developed by Marjoram et al. [2003] and by Bortot et al. [2007] for instance, and sequential methods ...
متن کاملAdaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs
Restricted Boltzmann Machines (RBM) have attracted a lot of attention of late, as one the principle building blocks of deep networks. Training RBMs remains problematic however, because of the intractibility of their partition function. The maximum likelihood gradient requires a very robust sampler which can accurately sample from the model despite the loss of ergodicity often incurred during le...
متن کاملParallel Tempering in Rosetta Practice
Parallel Tempering (PT) is an effective algorithm to overcome the slow convergence in low-temperature protein simulation by initiating multiple systems to run at multiple temperature levels and randomly switch with neighbor temperature levels. We implemented the PT scheme in the Rosetta to explore the rough energy landscape in protein folding and to improve the success rate of Rosetta in topolo...
متن کاملDecentralized Replica Exchange Parallel Tempering: An Efficient Implementation of Parallel Tempering Using MPI and SPRNG
Parallel Tempering (PT), also known as Replica Exchange, is a powerful Markov Chain Monte Carlo sampling approach which aims at reducing the relaxation time in simulations of physical systems. In this paper, we present a novel implementation of PT, so-called decentralized replica exchange PT, using MPI and the Scalable Parallel Random Number Generators (SPRNG) libraries. By adjusting the replic...
متن کاملParallel tempering simulations of HP-36.
We report results from all-atom Monte Carlo simulations of the 36-residue villin headpiece subdomain HP-36. Protein-solvent interactions are approximated by an implicit solvent model. The parallel tempering is used to overcome the problem of slow convergence in low-temperature protein simulations. Our results show that this technique allows one to sample native-like structures of small proteins...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistics and Computing
سال: 2012
ISSN: 0960-3174,1573-1375
DOI: 10.1007/s11222-012-9328-6