Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

The ability of developing complex internal representations of the environment is considered a crucial antecedent to the emergence of humans’ higher cognitive functions. Yet it is an open question ...

Neural responses during statistical learning reveal dissociable dynamic effects of expectation, supporting the opposing process theory within trials while demonstrating contrasting effects across ...

This course provides foundational and advanced concepts in statistical learning theory, essential for analyzing complex data and making informed predictions. Students will delve into both asymptotic ...

Johan Ferreira receives funding from the Centre of Excellence in Mathematical and Statistical Sciences, based at the University of the Witwatersrand, towards this Scholarship of Learning and Teaching ...