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5. Geometric Approach to Pairwise Bayesian Alignment of Functional Data Using Importance Sampling

Geometric Approach to Pairwise Bayesian Alignment of Functional Data Using Importance Sampling

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户：cx8105

【摘 要】

：

　　We present a Bayesian model for pairwise nonlinear registration of functional data.We utilize the geometry of the space of warping functions to define prior

【作 者】

：

Kurtek Sebastian 

【机 构】

：

The Ohio State Univ.

【出 处】

：

第八届工业与应用数学国际大会

【发表日期】

：

2015年期

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论文部分内容阅读

　　We present a Bayesian model for pairwise nonlinear registration of functional data.We utilize the geometry of the space of warping functions to define priors and sample from the posterior using importance sampling.

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