Linear regression remains a cornerstone of statistical analysis, offering a framework for modelling relationships between a dependent variable and one or more independent predictors. Over the past ...

The application of the lasso is espoused in high dimensional settings where only a small number of the regression coefficients are believed to be non-zero (i.e. the solution is sparse). Moreover, ...

Landscape genetics is emerging as an important way of supporting decision-making in landscape management, in response to the deterioration of matrix permeability due to habitat loss and fragmentation.