Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection ...

Data Generation Function: Simulates datasets suitable for Ordinal Probit Regression Model. Model Fitting + AIC-Based Variable Selection Model Fitting + BIC-Based Variable Selection Model Fitting + ...

Statistical thinking in wildlife biology and ecology has been profoundly influenced by the introduction of AIC (Akaike's information criterion) as a tool for model selection and as a basis for model ...

The purpose of statistical model selection is to identify a parsimonious model, which is a model that is as simple as possible while maintaining good predictive ability over the outcome of interest.