This study investigates regression analysis of multivariate current status data using a class of flexible semiparametric transformation frailty models. The maximum likelihood estimation procedure is ...

We consider the multivariate response regression problem with a regression coefficient matrix of low, unknown rank. In this setting, we analyze a new criterion for selecting the optimal reduced rank.

PresenterConor DolanDate first presentedJune 2022 Virtual WorkshopContentIn this lecture, the univariate twin model is extended to the bivariate twin model. It is explained how the variance in two ...

We consider both the uncapacitated and capacitated assortment problems under the so-called Multivariate MNL (MVMNL) model, which is one of the most popular multivariate choice models used in the ...