High dimensional statistical problems arise from diverse fields of scientific research and technological development. Variable selection plays a pivotal role in contemporary statistical learning and scientific discoveries. The traditional idea of best subset selection methods, which can be regarded as a specific form of penalized likelihood, is computationally too expensive for many modern stat...

Two conceptual nursing models, Roy's adaptation model and Erickson and Swain's adaptive potential assessment model are explained, and knowledge is identified within these two assessment techniques for adaptation to stress. The purpose is to identify common, noteworthy areas of nursing science as well as areas where further development in nursing knowledge is needed. A case study is used to comp...

Related individuals often have similar phenotypes, but this similarity may be due to the effects of shared environments as much as to the effects of shared genes. We consider here alternative approaches to separating the relative contributions of these two sources to phenotypic covariances, comparing experimental approaches such as cross-fostering, traditional statistical techniques and more co...

In this paper, two different data driven models, genetic programming (GP) and multivariate adoptive regression splines (MARS), have been adopted to create the models for prediction of bridge risk score. Input parameters of bridge risks consists of safe risk rating (SRR), functional risk rating (FRR), sustainability risk rating (SUR), environmental risk rating (ERR) and target output. The total ...

Quantitative genetic models of sexual selection have generally failed to provide a direct connection to speciation and to explore the consequences of finite population size. The connection to speciation has been indirect because the models have treated only the evolution of male and female traits and have stopped short of modeling the evolution of sexual isolation. In this article we extend Lan...

the price of oil plays an important role in the global economy and is an important factor influencing the government and commercial sectors. because of increasing importance of oil in financial markets, oil price predictions have always been an important subject for the researchers in economics, and other economic agents. this paper tries to study the behavior of crude oil prices based on smoot...