Multiple Hypothesis Testing with Persistent Homology
Offered By: Applied Algebraic Topology Network via YouTube
Course Description
Overview
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
Related Courses
Social Network AnalysisUniversity of Michigan via Coursera Intro to Algorithms
Udacity Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX