Advanced Methods course, open for ALL tracks
Cancelled in Fall 2017/2018
The course gives an introduction to the theory of many of the currently applied graphical models. All these models attempt to describe the associations and effects among the variables, and some may be given causal interpretation. The graphical nature of these models means that the structure formulated in the models may be illustrated by a graph, and graph-related language may be used to describe and interpret the meanings of the models. The models apply equally to discrete and continuous data. Several classical models used in multivariate statistics nay be formulated as a graphical model, with additional insight gained using graphs. The emphasis will be on the structural aspects, so the material is relevant, whether the data are from a survey, from administrative records, or are 'big'. This is an advanced class, assuming the students are familiar with statistical analysis and are able to explore and use statistical software (mostly in R) on their own. Much of the material presented is necessary background to study some of the contemporary theories of causality.