The purpose of statistical model selection is to identify a parsimonious model, which is a model that is as simple as possible while maintaining good predictive ability over the outcome of interest.

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

Motivated by the problems of analyzing protein backbones, diffusion tensor magnetic resonance imaging (DT-MRI) fiber tracts in the human brain, and other problems involving curves, in this study we ...

R is a powerful open source programming environment primarily known for its statistical capabilities. In this course we will cover some advanced applications of R: distributed computing using the ...

A statistical model -- now an easy-to-use software tool -- local police can use to identify a series of related crimes and nab a suspect has been unveiled. Crime linkage is the investigative process ...

If a defensive coordinator of a National Football League team could predict with high accuracy whether their team's opponent will call a pass or run play during a game, he would become a rock star in ...

2 School of Exercise Science, Australian Catholic University, Brisbane, Queensland, Australia 3 School of Human Movement Studies, The University of Queensland, Brisbane, Queensland, Australia 4 ...