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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
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2018-08-06T11:02
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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
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Duke University
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Series | |
Date Available |
2019-03-24
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0377391
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International