Nature

Variable selection for inferential models with relatively high-dimensional data: Between method heterogeneity and covariate stability as adjuncts to robust selection

Variable selection in inferential modelling is problematic when the number of variables is large relative to the number of data points, especially when multicollinearity is present. A variety of ...
Nature

Hybrid models of sparse and robust regression to solve heterogeneity problem in black pepper big data

Data analytics is increasingly important in agriculture, particularly in smart farming, enhancing decision-making and sustainability. Research on factors affecting moisture content removal in black ...