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Increasingly, data collected by scientists in different fields are in the form of trajectories or curves. These curves can often be viewed as realizations of a composite process driven by both amplitude and time variation. We consider the situation where functional variation is dominated by time variation, and develop a curve-synchronization method that uses every trajectory in the sample as a reference to obtain pairwise warping functions in a first step. These initial pairwise warpingdoi:10.1093/biomet/asn047 fatcat:dylyvnri7vdl3p4g2d3vnxn5te