A Multiresolution Approach to Time Warping Achieved by a Bayesian Prior–Posterior Transfer Fitting Strategy
通过贝叶斯先验—后验转移拟合实现时间扭曲的多分辨率方法
Summary Warping is an approach to the reduction and analysis of phase variability in functional observations, by applying a smooth bijection to the function argument. We propose a natural representation of warping functions in terms of a new type of elementary functions named ‘warping component functions’, or ‘warplets’, which are combined into the warping function by composition. The inverse warping function is trivial and explicit to obtain. A sequential Bayesian…