Joshua G. Harrison

The paper evaluates nine methods for variable selection and prediction in high-dimensional ecological and evolutionary data, finding that overfitting is common but prediction accuracy improves with more observations and stronger effects.

The paper shows that additive genetic effects from both plants and caterpillars determine the outcome of herbivory on alfalfa, with plant phytochemicals playing a key role.

This study shows that Dirichlet-multinomial modelling outperforms other methods in detecting differences in relative abundances in ecological count data, with HMC providing the most accurate results.