Corpus ID: 212657461

FuDGE: Functional Differential Graph Estimation with fully and discretely observed curves

@article{Zhao2020FuDGEFD,
  title={FuDGE: Functional Differential Graph Estimation with fully and discretely observed curves},
  author={Boxin Zhao and Y. Samuel Wang and Mladen Kolar},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.05402}
}
  • Boxin Zhao, Y. Samuel Wang, Mladen Kolar
  • Published 2020
  • Mathematics, Computer Science
  • ArXiv
  • We consider the problem of estimating the difference between two functional undirected graphical models with shared structures. In many applications, data are naturally regarded as high-dimensional random function vectors rather than multivariate scalars. For example, electroencephalography (EEG) data are more appropriately treated as functions of time. In these problems, not only can the number of functions measured per sample be large, but each function is itself an infinite dimensional… CONTINUE READING

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