Title: Warping functional data in R and C via a Bayesian multiresolution approach
Authors: Slaets, Leen ×
Claeskens, Gerda
Silverman, Bernard #
Issue Date: 2013
Publisher: UCLA Statistics
Series Title: Journal of Statistical Software vol:55 issue:3 pages:1-22
Abstract: Phase variation in functional data obscures the true amplitude variation when a typical cross-sectional analysis of these responses would be performed. Time warping or curve registration aims at eliminating the phase variation, typically by applying transformations, the warping functions tau_n, to the function arguments. We propose a warping method that jointly estimates a decomposition of the warping function in warping components, and amplitude components. For the estimation routine, adaptive MCMC calculations are performed and implemented in C rather than R to increase computational speed. The R-C interface makes the program user-friendly, in that no knowledge of C is required and all input and output will be handled through R. The R package MRwarping contains all needed files.
ISSN: 1548-7660
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Center for Operations Research and Business Statistics (ORSTAT), Leuven
× corresponding author
# (joint) last author

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