This Monte Carlo study examined the relative performance of four missing data treatment (MDT) approaches applied to incomplete cross-sectional hierarchical data: maximum likelihood (ML) estimation, multiple imputation under a normal model (MI/NM), multiple imputation under a linear mixed model...

The Bayes factor is commonly used for comparing different evolutionary rate models and different topologies in phylogeny. It is crucial to develop efficient Monte Carlo methods for estimating the marginal likelihoods in the Bayes factor. The Monte Carlo methods currently advocated in the...

The arbitrage-free term structure model of Heath, Jarrow and Morton is one of the standard tools for the theoretical analysis of fixed income securities and their associated derivatives. A specific HJM model is fully determined by a choice of volatility structure. This is attributed to the...

With the recent advent of computer technology, a new paradigm has began where complex biological system can be analyzed in a more useful fashion. In short, this mixing of computational and biological science popularly known as "omits" era of biomedical research often produces "modern data",...