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BIRS Workshop Lecture Videos
Statistical modeling using topological summaries Mukherjee, Sayan
Description
I will discuss how topological summaries can be used to model various
shapes as well as other high-dimensional data. I will talk about
geometric and statistical properties of the space of summaries and how
these summaries are the result of various filtrations. I will then
discuss why multi-parameter persistence would be a very nice tool for
these problems. The first half of the talk will be a review and I will
focus on some of my research in the second half.
Item Metadata
| Title |
Statistical modeling using topological summaries
|
| Creator | |
| Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
|
| Date Issued |
2018-08-06T11:02
|
| Description |
I will discuss how topological summaries can be used to model various
shapes as well as other high-dimensional data. I will talk about
geometric and statistical properties of the space of summaries and how
these summaries are the result of various filtrations. I will then
discuss why multi-parameter persistence would be a very nice tool for
these problems. The first half of the talk will be a review and I will
focus on some of my research in the second half.
|
| Extent |
50.0
|
| Subject | |
| Type | |
| File Format |
video/mp4
|
| Language |
eng
|
| Notes |
Author affiliation: Duke University
|
| Series | |
| Date Available |
2019-03-23
|
| Provider |
Vancouver : University of British Columbia Library
|
| Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
|
| DOI |
10.14288/1.0377391
|
| URI | |
| Affiliation | |
| Peer Review Status |
Unreviewed
|
| Scholarly Level |
Faculty
|
| Rights URI | |
| Aggregated Source Repository |
DSpace
|
Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International