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 modelling of latent variables refers to the suite of methods used to infer unobserved constructs from observed data. By representing underlying factors, traits or processes that cannot be ...