Classical Statistics and Statistical Learning in Imaging Neuroscience

A review written by Bzdok D in Frontiers in Neuroscience, 6 October 2017.

Brain-imaging research has predominantly generated insight by means of classical statistics, including regression-type analyses and null-hypothesis testing using t-test and ANOVA. Throughout recent years, statistical learning methods enjoy increasing popularity especially for applications in rich and complex data, including cross-validated out-of-sample prediction using pattern classification and sparsity-inducing regression.

Read More