Scientific Research Publishing

Liu, J.S., Liang, F. and Wong, W.H. (2000) The Multiple-Try Method and Local Optimization in Metropolis Sampling. Journal of the American Statistical Association, 95, 121-134.

ABSTRACT: In this paper, the successful use of Response Surface Methodology (RSM) in optimizing the characteristics of an OMUX resonator is presented. Models for the output responses, with respect to ...
Scientific Research Publishing

Etikan, I. (2016) Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5, 1-4.

ABSTRACT: This study investigates the knowledge and practices of healthcare waste management (HCWM) among healthcare workers (HCWs) in Maiduguri Metropolis, Borno State, Nigeria. Using a ...
SciELO

Wang-Landau sampling in three-dimensional polymers

Monte Carlo simulations using Wang-Landau sampling are performed to study three-dimensional chains of homopolymers on a lattice. We confirm the accuracy of the method by calculating the thermodynamic ...
GitHub

Markov Chain Monte Carlo (MCMC) Sampling Algorithms

This repo contains implementations for various MCMC sampling algorithms purely intended for educational purposes. The general idea is that ergodic Markov chains with transition distributions that ...
INSPIRE

On the Decay of Very Hot Nuclei. 1. Canonical Metropolis Sampling of Multifragmentation

An improved Metropolis' sampling method to simulate the nuclear multi-fragmentation by high energy protons is proposed and described in more detail. Results which are statistically smoother and more ...
Oak Ridge National Lab

DeepThermo: Deep Learning Accelerated Parallel Monte Carlo Sampling for Thermodynamics Evaluation of High Entropy Alloys

2023 IEEE International Symposium on Parallel and Distributed Processing (IPDPS) Since the introduction of Metropolis Monte Carlo (MC) sampling, it and its variants have become standard tools used for ...