The course discusses modern developments in modeling statistical dependence. Emphasis will be placed on copula models, particularly on conditional copula models that can be used in regression settings.
Tentative topics include: Random Effects; Copula Models for Continuous Data; Dependence measures; Types of Dependence; Conditional Copulas for Continuous Data; Copula Models for Discrete/Mixed Data; Conditional Copula Models for Discrete/Mixed Data; Vines.