We introduce a new MATLAB software package that implements several recently proposed likelihood-based methods for sufficient dimension reduction. Current capabilities include estimation of reduced subspaces with a fixed ...

The analysis and interpretation of datasets with large number of features and few examples has remained as a challenging problem in the scientific community, owing to the difficulties associated with the curse-of-the-dim ...

We study the asymptotic behavior of a class of methods for sufficient dimension reduction in high-dimension regressions, as the sample size and number of predictors grow in various alignments. It is demonstrated that these ...

The use of asymptotic limits to model heterogeneous plates can be troublesome, because it requires a priori knowledge on the ratio between characteristic lengths of heterogeneities and thickness. Moreover, it also relies ...

Objectives: To evaluate alterations from different therapies in muscular injury using the Fractal Dimension (FD) method. Methods: 35 animals were allocated in Control Group (C), Injury Control Group (IC), Injury Low Level ...