Event Date
Lecture Series on “Statistical Analysis of Network Data” by Eric Kolaczyk, Boston University.
- Thursday May 7, 12:00pm - 1:15pm
- Thursday May 14, 12:00pm - 1:15pm
- Thursday May 21, 12:00pm - 1:15pm
- VIDEO of the lecture
Brief outline of the lectures:
Network analysis in its modern incarnation is at least 20 years old now, with roots going back much earlier still. Yet there is a substantial amount of work to be done on statistical aspects in this area -- much of it foundational yet under active development. This series of lectures will present on three select topics:
- Stochastic block modeling: A statistics love story
- Network sampling: Something old and something new
- Noisy networks: Uncertainty quantification for network summaries.
Presentation will be pitched for a broad quantitative audience (e.g., background in core aspects of probability and statistics should be sufficient). Application to elements of network-based epidemic modeling will be discussed briefly in the second and third lectures.
These lectures will be held remotely via Zoom. In order to access the link and password for the lectures you will need to register with your name and affiliation. It is only required to register once, and you will have access to all three lectures.
TO REGISTER: https://ucdstats.zoom.us/meeting/register/tJMvc--rrD4vH9JqaI1SWxPg45H87A5P-c6z
VIDEOS: The video of each lecture will be posted here and on our seminar page after the lectures have finished. Hosted by Aggie Video:
- Lecture One: https://video.ucdavis.edu/media/Lecture+1+-+Thursday+May+7+2020/0_pwudsuxk
- Lecture Two (to be added)
- Lecture Three (to be added)
Eric Kolaczyk is Professor of Statistics in the Department of Mathematics and Statistics at Boston University.
He is an expert in statistical network analysis. Besides having made numerous research contributions to this field, he also has published three books on statistical network analysis. See his website for more information.
Currently, he serves as the Director of the Harari Institute for Computing at Boston University.
Note: this event was rescheduled from March 12/13 2020.