Isotonic Regression in General Dimensions – Richard Samworth, University of Cambridge
Alan Turing Institute via YouTube
Overview
Syllabus
Intro
Isotonic regression
Multidimensional covariance
Natural partial ordering
Independent observations
Dijkstras algorithm
Work on isotonic regression
Fixed lattice design
Least squares estimator
Bound the risk
Statistical dimension
Antichain
Global empirical risk minimization
Adaptation
Lower bound
Monotonic functions
Random design
Random design results
The adage carry theorem
Summary
Taught by
Alan Turing Institute