Multispecies coalescent (MSC) is the extension of the single-population coalescent model to multiple species.It integrat......

Randomize-then-optimize (RTO) is widely used for sampling from posterior distribu-tions in Bayesian inverse problems.How......

Parameter and conceptual model are the main sources of groundwater modelling uncertainty.Based on Markov Chain Monte Car......

The role of building sensor networks is increasingly significant in building industry in that advanced building energy m......

A solid tumor sample consists of mixed populations of cells,normal cells and cancer cells.Heterogeneity among cancer cel......

Scalable Bayes for big data is a rapidly growing research area,but most existing methods are either highly complex to im......

In logistic regression,separation occurs when a linear combination of the predictors can perfectly classify part or all ......

Hamiltonian Monte Carlo(HMC)has become routinely used for sampling from posterior distributions.Its extension Riemann ma......

The work is motivated by analysis of transcription factor networks,which are heterogeneous across the genome and dynamic......

Research of dental disease generates data with two levels of hierarchy: that of a tooth overall and that of the differen......

提出一种基于马尔科夫链蒙特卡罗(MCMC)框架的子图学习方法,该方法通过构建马尔科夫链实现子图在状态空间中的迭代,最终得到用于匹......