Nonparametric Bayes Kernel-Based Priors for Functional Data Analysis

@inproceedings{Maclehose2007NonparametricBK,
  title={Nonparametric Bayes Kernel-Based Priors for Functional Data Analysis},
  author={Richard F. Maclehose and David B. Dunson},
  year={2007}
}
We focus on developing nonparametric Bayes methods for collections of dependent random functions, allowing individual curves to vary flexibly while adaptively borrowing information. A prior is proposed, which is expressed as a hierarchical mixture of weighted kernels placed at unknown locations. The induced prior for any individual function is shown to fall… CONTINUE READING