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2008-09-09
13:30:00 - 15:00:00

An overview of "Functional Convex Averaging and Synchronization for Time-Warped Random Curve" by Liu and Muller (2004)

308 , Mathematics Research Center Building (ori. New Math. Bldg.)

When the dynamics of regulatory processes over time are at issue, data can be described as a sample of curve in science and engineering. For functional data where trajectories may be individually time-transformed, it is usually inadequate to use commonly used sample statistics, such as the cross-sectional mean or cross-sectional sample variance, and the usual L2 metric. Curve registration is a statistical method to find a suitable overall structural representation. Liu and Muller (2004) proposed a time warping model including random time-synchronizing maps and concepts of functional calculus. The observed curves are assumed to be generated by a latent bivariate stochastic process, where one component corresponds to the random time warping function and the other component corresponds to a random amplitude function. An overview of the paper “Functional Convex Averaging and Synchronization for Time-Warped Random Curve” by Liu and Muller (2004) is given in this talk.