Confirmation and Chaos
journal contributionposted on 01.06.2002, 00:00 by Maralee Harrell, Clark Glymour
Recently, Rueger and Sharp (1996) and Koperski (1998) have been concerned to show that certain procedural accounts of model confirmation are compromised by non-linear dynamics. We suggest that the issues raised are better approached by considering whether chaotic data analysis methods allow for reliable inference from data. We provide a framework and an example of this approach.