Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning
Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning
We give a tutorial overview of several foundational methods for dimension reduction. We divide the methods into projective methods and methods that model the ma
Scientists and engineers use computer simulations to study relationships between a model's input parameters and its outputs. However, thorough parameter studies
An exploration of regression graphics through computer graphics. Recent developments in computer technology have stimulated new and exciting uses for graphics i