Boolean Models in Hyperbolic Space
Offered By: Hausdorff Center for Mathematics via YouTube
Course Description
Overview
Explore Boolean models in hyperbolic space through this 26-minute lecture by Matthias Schulte from the Hausdorff Center for Mathematics. Delve into the study of isometry invariant Poisson processes on compact convex subsets of hyperbolic space, examining geometric functionals such as the volume of intersections with ball-shaped observation windows. Discover asymptotic formulas for expectations, variances, and covariances as the ball radius increases, and learn about univariate and multivariate central limit theorems. Compare these findings to the Euclidean case, noting new phenomena unique to hyperbolic space. The talk draws from joint work with Daniel Hug and Günter Last from Karlsruhe.
Syllabus
Matthias Schulte: Boolean models in hyperbolic space
Taught by
Hausdorff Center for Mathematics
Related Courses
Statistics OnePrinceton University via Coursera Aléatoire : une introduction aux probabilités - Partie 1
École Polytechnique via Coursera Elementary Business Statistics
The University of Oklahoma via Janux Aléatoire : une introduction aux probabilités - Partie 2
École Polytechnique via Coursera Probability: Distribution Models & Continuous Random Variables
Purdue University via edX