It is often assumed (for analytical convenience, but also in accordance with common intuition) that consumer preferences are convex. In this paper, we consider circumstances under which such preferences are (or are not) optimal. In particular, we investigate a setting in which goods possess some...

This paper investigates dynamic interactions in the US beef market using phase space reconstruction, which has been developed to analyze nonlinear dynamical systems. This approach provides important and unique empirical insights into consumers behavior in the beef market. Our results from a...

Differentiating strains of a pathogen is often central to investigating its epidemiological aspects. The genetic similarity of a group of strains can be assessed by calculating a matrix of dissimilarities from their DNA fingerprinting profiles. The mean dissimilarity for each strain across other...

Phase space reconstruction is investigated as a diagnostic tool for uncovering structure of nonlinear processes in regression residuals. Results in the form of phase portraits (e.g. scatter plots of reconstructed dynamical systems) and descriptive statistics provide information that can identify...

Replaced with revised version of paper 06/08/11.