Place: Room 420, GP South (Building 78)
Time: Thursday 29th May 2008 , 10:30 morning Tea, 11:00am
Speaker: Professor Daniel Kaplan, Macalester College in
Saint Paul, Minnesota, USA.
Title: Untangling causation in complex systems
Abstract: For many people, statistics is about simplifying
systems so that some standard test (e.g., the t-test) can be
applied. Over the last decade, new approaches to doing
statistics have emerged that can respect the intrinsic
complexity of systems. I'll introduce a couple of
these approaches that focus on networks of influences:
multiple regression with large numbers of explanatory
variables and the topological analysis of causal networks.
You don't need to know much about conventional statistics to
be able to follow the talk.
Biography: Danny Kaplan is visiting UQ from Macalester
College in Saint Paul, Minnesota, USA where he is the DeWitt
Wallace Professor of Mathematics and Computer Science.
His training is in physics, economics, and biomedical
engineering. His research has involved developing
methods grounded in
nonlinear dynamics to the analysis of signals from
physiological systems. He is the author of the textbooks
"Understanding Nonlinear Dynamics" (with Leon Glass) and
"Introduction to Scientific Computation and Programming."
Currently he is working on a textbook that departs radically
from the way statistics is usually introduced in university
in order to prepare students to use the methods that are the
subject of the talk.
Dr. Ariel Liebman
ARC Centre for Complex Systems
School of ITEE, University of Queensland