Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Modeling and Replicating Persistence Diagrams

Applied Algebraic Topology Network via YouTube

Overview

Limited-Time Offer: Up to 75% Off Coursera Plus!
7000+ certificate courses from Google, Microsoft, IBM, and many more.
This course aims to teach students how to model and replicate persistence diagrams, which are useful displays summarizing topological features. The course covers topics such as the Replicating Statistical Topology (RST) approach, parametric modeling, closeness relations between points, and considering diagram shapes. The teaching method includes introducing concepts, presenting examples, and comparing different models through examples. This course is intended for individuals interested in statistical inference, topology, and data analysis.

Syllabus

Introduction
Example
Bootstrap
Gibbs distribution
Treasure of Delta
Pseudomaximum likelihood estimation
MCMC
Replicating persistent diagrams
Proposal distribution
Comparison
Vertical clustering
Results
Topological signals
Backplot

Taught by

Applied Algebraic Topology Network

Reviews

Start your review of Modeling and Replicating Persistence Diagrams

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.