Latent variable modelling seeks to infer constructs that are not directly observed but are believed to underlie observed measurements. By representing these constructs as latent factors or classes, ...

In finance, data is often incomplete because the data is unavailable, inapplicable or unreported. Unfortunately, many classical data analysis techniques — for instance, linear regression — cannot ...

In this talk, I will discuss the development of interpretable machine learning models to test scientific hypotheses, with a specific focus on spinal motor control. Voluntary movement requires ...