Friday, 15 June 2018 at 9:30 - room F17
Modelling and estimation of nonlinear and additive conditional quantiles with random effects
Marco Geraci (University of South Carolina)
Linear quantile mixed models (LQMMs) have found application in public health, preventive medicine, virology, genetics, anesthesiology, immunology, ophthalmology, orthodontics, cardiology, pharmacology, biochemistry, biology, marine biology, environmental, climate and marine sciences, psychology, criminology, gerontology, economics and finance, linguistic and lexicography. Supported by a grant from the National Institute of Child Health and Human Development, I recently extended LQMMs to nonlinear (NLQMM) and additive (AQMM) regression. In this talk, I will present models, estimation algorithms and software, along with a few applications.