A framework for imperfectly observed networks
33 mins 26 secs,
169.32 MB,
WebM
640x360,
29.97 fps,
44100 Hz,
691.47 kbits/sec
Share this media item:
Embed this media item:
Embed this media item:
About this item
Description: |
Aldous, D (University of California)
Tuesday 12th July 2016 - 09:00 to 09:30 |
---|
Created: | 2016-07-19 11:46 |
---|---|
Collection: | Theoretical Foundations for Statistical Network Analysis |
Publisher: | Isaac Newton Institute |
Copyright: | Aldous, D |
Language: | eng (English) |
Distribution: | World (downloadable) |
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. |
---|
Available Formats
Format | Quality | Bitrate | Size | |||
---|---|---|---|---|---|---|
MPEG-4 Video | 640x360 | 1.94 Mbits/sec | 486.53 MB | View | Download | |
WebM * | 640x360 | 691.47 kbits/sec | 169.32 MB | View | Download | |
iPod Video | 480x270 | 522.08 kbits/sec | 127.78 MB | View | Download | |
MP3 | 44100 Hz | 249.79 kbits/sec | 61.20 MB | Listen | Download | |
Auto | (Allows browser to choose a format it supports) |