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A Comparison Of Prediction Methods Of Functional Autoregressive Time Series, Devin Didericksen
A Comparison Of Prediction Methods Of Functional Autoregressive Time Series, Devin Didericksen
All Graduate Plan B and other Reports, Spring 1920 to Spring 2023
Functional data analysis (FDA) is a relatively new branch of statistics that has seen a lot of expansion recently. With the advent of computer processing power and more efficient software packages we have entered the beginning stages of applying FDA methodology and techniques to data. Part of this undertaking should include an empirical assessment of the effectiveness of some of the tools of FDA, which are sound on theoretical grounds. In a small way, this project helps advance this objective.
This work begins by introducing FDA, scalar prediction techniques, and the functional autoregressive model of order one - FAR(1). Two …