Spatial kernel estimate or smoothing has become a useful tool in exploring non-Gaussian distributions for complex spatial data,collected with modern data acquisition techniques.
The expression of a gene is usually controlled by the regulatory elements in its promoter region.However,it has long been hypothesized that,in complex genomes,such as the human genome,a gene may be co
Multi-state models have been widely used in assessing the dynamic disease progression under investigation.In some scenarios,a fraction of the population may be risk free for disease pro-gression.
Covariate-adjusted response-adaptive(CARA)designs use the available responses to skew the treatment allocation proportions in a clinical trial in favour of the treatment found best,thus far,for a give
Clustering is one of the first tools to explore big data.Classical techniques,such as hierarchical clustering and k-means,are usually based on the closeness between two data points or between a data p
This paper reviews the method of tail functions(TFs)for confidence estimation,starting with a seminal paper in the Canadian Journal of Statistics in 2006,and provides additional examples.
This work is motivated by the recent Korean MERS outbreak.We propose an easy adaptive estimation procedure for the case fatality rate(CFR)-the proportion of deaths among the cases during the course of