Entropy regularized optimal transport and its multi-marginal generalization have attracted increasing attention in various applications, particular due to efficient Sinkhorn-like algorithms for computing plans. However, it is often desirable that the marginals of plan do not match given measures exactly, which led introduction so-called unbalanced transport. Since methods were examined setting ...

We present flexible, fully Bayesian models for the covariance structure of unbalanced multivariate repeated measures data. A typical setting involves measurements on many subjects taken at any of a large number of possible times. Unstructured covariance matrices have too many parameters to be fit to this sort of data, so researchers have typically relied on structured covariance matrices which ...

OBJECTIVES There is growing interest in multi-source, multi-level feedback for measuring the performance of health care professionals. However, data are often unbalanced (e.g. there are different numbers of raters for each doctor), uncrossed (e.g. raters rate the doctor on only one occasion) and fully nested (e.g. raters for a doctor are unique to that doctor). Estimating the true score varianc...