Statistical and causal inference in networks
- đ¤ Speaker: Dean Eckles (Massachusetts Institute of Technology)
- đ Date & Time: Tuesday 12 July 2016, 16:00 - 16:30
- đ Venue: Seminar Room 1, Newton Institute
Abstract
I survey the state of methods for statistical and causal inference in networks. I present Fisherian randomization inference methods for testing for network interference (i.e., spillovers, exogenous peer effects) as an example.
See https://arxiv.org/abs/1506.02084
Series This talk is part of the Isaac Newton Institute Seminar Series series.
Included in Lists
- All CMS events
- bld31
- Cambridge Centre for Data-Driven Discovery (C2D3)
- Cambridge talks
- Chris Davis' list
- dh539
- Featured lists
- INI info aggregator
- Interested Talks
- Isaac Newton Institute Seminar Series
- ndk22's list
- ob366-ai4er
- rp587
- School of Physical Sciences
- Seminar Room 1, Newton Institute
- Trust & Technology Initiative - interesting events
- yk449
Note: Ex-directory lists are not shown.
![[Talks.cam]](/static/images/talkslogosmall.gif)

Dean Eckles (Massachusetts Institute of Technology)
Tuesday 12 July 2016, 16:00-16:30