Talks

Statistical Methodology

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

2008 - 09 - 09 (Tue.)
13:30 - 15:00
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.



Time:November 20, 2007 - July 31, 2009
Room:
Organizer:Hung Chen ( Department of Mathematics, National Taiwan University )

Available Talk List

2007-11-20
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2007-12-04
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2008-01-08
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2008-09-09
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2008-11-07
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2009-04-10
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2009-04-13
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2009-04-24
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2009-04-29
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2009-05-08
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2009-05-22
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2009-05-27
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2009-06-10
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2009-06-12
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2009-09-25
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