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Principal Differential Analysis (PDA) #12
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@penghga This paper may be of interest to you: Dalla Rosa, Matilde, Laura M. Sangalli, and Simone Vantini. 2014. “Principal Differential Analysis of the Aneurisk65 Data Set.” Advances in Data Analysis and Classification 8 (3). Springer Berlin Heidelberg: 287–302. doi:10.1007/s11634-014-0175-5. http://link.springer.com.proxy-remote.galib.uga.edu/article/10.1007/s11634-014-0175-5 |
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This issue is for discussion surround the fitting of differential equations to functional data, commonly referred to as Principal Differential Analysis (PDA) [1].
References
[1] Ramsay, J. O., and B. W. Silverman. 2005. Chapter 19. Functional Data Analysis. 2nd ed. Springer Series in Statistics. New York: Springer-Verlag. doi:10.1007/b98888.
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