Recent years have seen the developments of several methods for sparse principal component analysis due to its importance in the analysis of high dimensional data. Despite the demonstration of their usefulness in practical applications, they are limited in terms of lack of orthogonality in the...

With the advance of techniques, more and more complicated data are extracted and recorded. In this paper, functional regression models with a scalar response and multiple predictive curves are considered. We transform the functional regression models to multiple linear regression models by using...

The determination of evolutionary relationships is a fundamental problem in evolutionary biology. Genome arrangement data are potentially more informative than deoxyribonucleic acid sequence data for inferring evolutionary relationships between distantly related taxa. We describe a Bayesian...