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Dear all Instead of real valued random variables, I would like to analyze step functions. I observe a time series for each of N step functions. These step functions are monotonically increasing and have finite many steps. If it helps the analysis, a continuous approximation would also be fine. I would like to study whether the covariation of the curves is driven by some factors, i.e. whether the variation in the shape of the curves has common components. The only methodology dealing with statistics of curves that I've found so far is Small and McLeish: Hilbert space methods in probability and statistical inference. Yet, the seem to study "univariate" curves, not families of "curve valued random variables". Any suggestion as on an appropriate statistical model is very much appreciated, W. Bauer
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