Overcoming the Binary (Next Week at the Statistics Seminar)
Every human relationship is a unique and precious snowflake, but do we treat
them that way when we model them mathematically? No. No we do not. Join us
next week to hear not just why this is wrong, but what to do instead. As
always, the seminar is free and open to the public.
- Joe
Blitzstein, "Strengths of Ties in Network Modeling and Network
Sampling"
- Abstract: Measuring and modeling the strengths of ties in a social
network has a long history, and an even longer history of being ignored. How
much does it matter for inference if the strengths are discarded?
Dichotomizing a network may seem to be an appealing simplification, but we show
that it comes at a heavy cost, through quantifying the information loss.
Closely related issues arise in respondent-driven sampling, a popular method
for surveying ``hidden'' populations. We suggest ways to incorporate strength
of tie information in this setting, comparing design-based and model-based
estimation approaches in the context of an AIDS study.
- Based on joint works with Sergiy Nesterko and Andrew Thomas.
- Time and place: Monday, Aug. 23, 2010, 4:00--5:00 PM in Doherty Hall A310
Let me add that Prof. Blitzstein will be visiting us from
the Bible college of a prophecy-obsessed, theocratic Puritan cult
clinging to the rudiments of civilization in a plague-blasted post-apocalyptic
wasteland*, so I expect a good turn out to show him how we do
these things around here.
*: No, really.
Manual trackback (!): The Inverse Square
Enigmas of Chance;
Networks
Posted at August 19, 2010 16:30 | permanent link