Monday, 12th May, 2014, 10.00-11.00

Traceable regressions: general properties and special cases

Traceable regressions are those graphical Markov models that are best suited to capture generating processes in longitudinal studies, either without or with interventions. Sequences of responses may contain several component variables and these components may be continuous or discrete.

In this lecture, I discuss properties of  corresponding distributions that are needed to read off the graph all implied independences, as well as the additional properties that permit similar conclusions about dependences. Some data analyses are shown and some results are discussed for star graphs, a very special type of graph.

Speaker: Nanny Wermuth, Chalmers University of Technology, Gothenburg and Johannes Gutenberg-University, Mainz

Room Xipre (seminar 173.06-183.01), PRBB.