Dr. Lanshan Han presented on the "
Estimation of Linear Mixed Models under Joint Inequality Constraints" on Friday, Sept. 14, 2018, in the UF Computer Science & Engineering Building in Room E222. Dr. Han is Associate Director of Research and Development at Precima, Inc., which is a subsidiary of Alliance Data System (NYSE: ADS). Linear mixed models (LMMs), which allow both fixed and random effects, are a classical extension of linear models. They are particularly applicable when there are certain hierarchical structures and hence are widely adopted in many areas. Traditional computational tools to estimate linear mixed models do not allow for the imposition of constraints, especially inequality constraints on the estimated coefficients. In this talk, Dr. Han will present two approaches to explicitly include inequality constraints in the estimation of the LMMs.