Title	Improved Discrepancy Bounds and Estimates
Creator	Pasing, Hendrik
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2020-09-30T09:44
Description	Error estimation in Monte-Carlo integration is related to the star discrepancy of random point sets. We will present latest results for (probabilistic) upper bounds of the star discrepancy which are based on major improvements on bounds of bracketing numbers. Additionally we introduce upper bounds for the expected value of the star discrepancy. This is joint work with Michael Gnewuch and Christian WeiÃ .
Extent	17.0 minutes
Subject	Mathematics; Convex and discrete geometry; Dynamical systems and ergodic theory; Discrete mathematics
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Ruhr West University of Applied Sciences
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2021-03-30
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0396417
URI	http://hdl.handle.net/2429/77664
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Other
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

Open Collections

BIRS Workshop Lecture Videos