Confidence sets for persistence diagrams

@article{Fasy2014ConfidenceSF,
  title={Confidence sets for persistence diagrams},
  author={Brittany Terese Fasy and F. Lecci and A. Rinaldo and L. Wasserman and S. Balakrishnan and A. Singh},
  journal={Annals of Statistics},
  year={2014},
  volume={42},
  pages={2301-2339}
}
  • Brittany Terese Fasy, F. Lecci, +3 authors A. Singh
  • Published 2014
  • Mathematics, Computer Science
  • Annals of Statistics
  • Persistent homology is a method for probing topological properties of point clouds and functions. The method involves tracking the birth and death of topological features (2000) as one varies a tuning parameter. Features with short lifetimes are informally considered to be "topological noise," and those with a long lifetime are considered to be "topological signal." In this paper, we bring some statistical ideas to persistent homology. In particular, we derive confidence sets that allow us to… CONTINUE READING
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