YoVDO

Larry Wasserman - Robust Topological Inference

Offered By: Applied Algebraic Topology Network via YouTube

Tags

Statistical Inference Courses Bootstrap Courses Self-confidence Courses Algebraic Topology Courses

Course Description

Overview

Explore robust topological inference in this 54-minute lecture by Larry Wasserman. Delve into key concepts including persistence, target distribution, and distance to miss. Learn about effort results, self-confidence, and confidence bands. Examine bootstrap techniques and their comparison to bottleneck methods. Discover optimal tuning parameters and their application in real-world examples. Gain valuable insights into this complex topic, concluding with a Q&A session to reinforce understanding.

Syllabus

Introduction
Motivation
Persistence
Target Distribution
Distance to Miss
Effort Result
Selfconfidence
Confidence band
Bootstrap
Bootstrap vs bottleneck
Tuning parameters
Optimal tuning
Example
Conclusions
Questions


Taught by

Applied Algebraic Topology Network

Related Courses

Statistics in Medicine
Stanford University via Stanford OpenEdx Introduction to Statistics: Inference
University of California, Berkeley via edX Probability - The Science of Uncertainty and Data
Massachusetts Institute of Technology via edX Statistical Inference
Johns Hopkins University via Coursera Explore Statistics with R
Karolinska Institutet via edX