Monte Carlo methods have emerged as an indispensably robust tool for simulating particle transport in stochastic media, where material properties vary according to random processes. These techniques ...

This article presents a new particle filter algorithm which uses random quasi-Monte-Carlo to propagate particles. The filter can be used generally, but here it is ...

The application of Bayesian methods to large-scale phylogenetics problems is increasingly limited by computational issues, motivating the development of methods that can complement existing Markov ...

Monte Carlo-based computer simulations provide a powerful alternative to experiments in many areas of research, and have become commonplace in both diagnostic and therapy medical physics research.