High-dimensional classification addresses situations in which the number of variables far exceeds the number of observations. Traditional methods often falter in these settings due to overfitting, ...

Statistical methods for longitudinal data analysis address the unique challenges of studying repeated measurements on individuals over time. These methods must accommodate temporal correlation, uneven ...