Matrix completion is a class of machine learning methods that concerns t...
This paper considers the detection of change points in parallel data str...
Item response theory (IRT) has become one of the most popular statistica...
As a generalisation of the classical linear factor model, generalised la...
In standardized educational testing, test items are reused in multiple t...
We consider sequential change point detection in multiple data streams, ...
In this note, we revisit a singular value decomposition (SVD) based algo...
Consider a standard white Wishart matrix with parameters n and p.
Motiva...
Motivated by a series of applications in data integration, language
tran...
Latent factor models are widely used to measure unobserved latent traits...
Multidimensional item response theory is widely used in education and
ps...