Journal of Agricultural, Biological, and Environmental Statistics, Vol. 20, No. 2 (June 2015), pp. 192-217 (26 pages) The desire to group observations generated from multivariate time series is common ...

When functional data come as multiple curves per subject, characterizing the source of variations is not a trivial problem. The complexity of the problem goes deeper when there is phase variation in ...

Substantial evidence links exaggerated mental stress induced blood pressure reactivity to future hypertension, but the results for heart rate reactivity are less clear. For this reason multivariate ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.