Accelerating parallel tempering: Quantile tempering algorithm (QuanTA)
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 کاملA decentralized parallel implementation for parallel tempering algorithm
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 decentralized parallel implementation of PT using the message passing interface (MPI) and the scalable parallel random number generators (SPRNG) library. By taking advan...
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 کاملParallel-tempering cluster algorithm for computer simulations of critical phenomena.
In finite-size scaling analyses of Monte Carlo simulations of second-order phase transitions one often needs an extended temperature range around the critical point. By combining the parallel-tempering algorithm with cluster updates and an adaptive routine to find the temperature window of interest, we introduce a flexible and powerful method for systematic investigations of critical phenomena....
متن کاملParallel Tempering Algorithm for Conformational Studies of Biological Molecules
The effectiveness of a new algorithm, parallel tempering, is studied for numerical simulations of biological molecules. These molecules suffer from a rough energy landscape. The resulting slowing down in numerical simulations is overcome by the new method. This is demonstrated by performing simulations with high statistics for one of the simplest peptides, Met-enkephalin. The numerical effectiv...
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: Advances in Applied Probability
سال: 2019
ISSN: 0001-8678,1475-6064
DOI: 10.1017/apr.2019.35