Bayesian Phylogenetic Inference Using a Combinatorial Sequential Monte Carlo Method
利用组合序贯蒙特卡洛方法进行贝叶斯系统发育推断
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 chain Monte Carlo (MCMC) schemes. Sequential Monte Carlo (SMC) methods are approximate inference algorithms that have become very popular for time series models. Such methods have been recently developed to address phylogenetic inference problems but currently available techniques…