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Functional Data Analysis (FDA) defines a framework where the fundamental units of analysis are functions. A dataset is assumed to hold observations from an underlying smoothly varying stochastic process. Typical functional datasets are collections of curves and shapes, but also surfaces, general three dimensional objects or even more high-dimensional objects are increasingly considered.

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