- Library Home /
- Search Collections /
- Open Collections /
- Browse Collections /
- BIRS Workshop Lecture Videos /
- Localization technique for discrete log-concave random...
Open Collections
BIRS Workshop Lecture Videos
BIRS Workshop Lecture Videos
Localization technique for discrete log-concave random variables Marsiglietti, Arnaud
Description
We extend the localization technique of Lovasz and Simonovits (1993) in the geometric form of Fradelizi and Guedon (2004) to the discrete setting. In particular, we show that the extreme points of the set of discrete log-concave random variables satisfying a linear constraint are log-affines with respect to a reference measure. Several applications are discussed akin to the continuous setting. This is joint with James Melbourne.
Item Metadata
Title |
Localization technique for discrete log-concave random variables
|
Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
|
Date Issued |
2020-02-11T14:04
|
Description |
We extend the localization technique of Lovasz and Simonovits (1993) in the geometric form of Fradelizi and Guedon (2004) to the discrete setting. In particular, we show that the extreme points of the set of discrete log-concave random variables satisfying a linear constraint are log-affines with respect to a reference measure. Several applications are discussed akin to the continuous setting. This is joint with James Melbourne.
|
Extent |
31.0 minutes
|
Subject | |
Type | |
File Format |
video/mp4
|
Language |
eng
|
Notes |
Author affiliation: University of Florida
|
Series | |
Date Available |
2020-08-10
|
Provider |
Vancouver : University of British Columbia Library
|
Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
|
DOI |
10.14288/1.0392673
|
URI | |
Affiliation | |
Peer Review Status |
Unreviewed
|
Scholarly Level |
Researcher
|
Rights URI | |
Aggregated Source Repository |
DSpace
|
Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International