MIT Sloan AI Adoption: Build a Playbook That Drives Real Business ROI
AI Engineer - Learn how to integrate AI into software applications
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore methods for multiple hypothesis testing in persistent homology in this 57-minute conference talk by Mikael Vejdemo-Johansson. Delve into techniques for correcting family-wise error rates when testing against null models and false discovery rates in various settings. Discover the application of these multiple testing paradigms to post-hoc validation of Mapper complexes. Learn about joint work with Sayan Mukherjee that builds upon Cericola et al's research on ANOVA-type persistent homology tests. Gain insights into this developing area of applied algebraic topology and its potential implications for data analysis and topological data science.
Syllabus
Mikael Vejdemo-Johansson (1/22/19): Multiple hypothesis testing with persistent homology
Taught by
Applied Algebraic Topology Network