A framework for imperfectly observed networks
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About this item
| Description: |
Aldous, D (University of California)
Tuesday 12th July 2016 - 09:00 to 09:30 |
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| Created: | 2016-07-19 11:46 |
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| Collection: | Theoretical Foundations for Statistical Network Analysis |
| Publisher: | Isaac Newton Institute |
| Copyright: | Aldous, D |
| Language: | eng (English) |
| Distribution: |
World
(downloadable)
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| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | Model a network as an edge-weighted graph, where the (unknown) weight we of edge e indicates the frequency of observed interactions, that is over time t we observe a Poisson(twe) number of interactions across edges e. How should we estimate some given statistic of the underlying network? This leads to wide-ranging and challenging problems. |
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| iPod Video * | 480x270 | 522.08 kbits/sec | 127.78 MB | View | Download | |
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