Background: The Monte Carlo simulation of sequence evolution is routinely used to assess the performance of phylogenetic inference methods and sequence alignment algorithms. Progr...
Botond Sipos, Tim Massingham, Gregory E. Jordan, N...
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
—Photodynamic therapy (PDT) is a method of treating cancer that combines light and light-sensitive drugs to selectively destroy cancerous tumours without harming the healthy tiss...
Jason Luu, Keith Redmond, William Lo, Paul Chow, L...
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
Abstract. We propose a novel tracking algorithm based on the WangLandau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conv...