ARC Colloquium: Brittany Terese Fasy–Tulane University

Event Details
  • Date/Time:
    • Monday December 8, 2014 - Tuesday December 9, 2014
      12:00 pm - 11:59 am
  • Location: College of Computing Room 102
  • Phone:
  • URL:
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  • Fee(s):
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Dani Denton


Summary Sentence: Providing Statistical Guarantees for Topological Summaries of Data

Full Summary: No summary paragraph submitted.

  • Brittany Terese Fasy Brittany Terese Fasy

(Note: location changed to CCB 102)

Title:  Providing Statistical Guarantees for Topological Summaries of Data

Persistent homology is a method for probing topological properties of point clouds and function. The method involves tracking the birth and death of topological features as one varies a tuning parameter. Features with short lifetimes are informally considered to be “topological noise.” I am interested in bringing statistical ideas to persistent homology in order to distinguish topological signal from topological noise and to derive meaningful, yet computable, summaries of large datasets.  In this talk, I will define some of the existing topological summaries of data, and show how we can provide statistical guarantees of these summaries.

Additional Information

In Campus Calendar

College of Computing, School of Computer Science, ARC

Invited Audience
Undergraduate students, Faculty/Staff, Public, Graduate students
algorithms, data, Guarantees, randomness, Statistical, Topological
  • Created By: Dani Denton
  • Workflow Status: Published
  • Created On: Nov 25, 2014 - 2:04pm
  • Last Updated: Apr 13, 2017 - 5:21pm