3 accepted papers
We develop a novel measurement framework based on Gaussian process coregionalization model to address a long-lasting debate in psychometrics: whether psychological features like personality share a common structure across the population or vary uniquely for individuals. We propose idiographic person…
We introduce a Bayesian multi-task Gaussian process model for estimating treatment effects from panel data, where an intervention outside the observer’s control influences a subset of the observed units. Our model encodes structured temporal dynamics both within and across the treatment and control…
The goal of item response theoretic (IRT) models is to provide estimates of latent traits from binary observed indicators and at the same time to learn the item response funcitons (IRFs) that map from latent trait to observed response. However, in many cases observed behavior can deviate significant…