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Statistical Designs for Network A/B Testing

Event Category:
Statistics and Probability Seminar
Qiong Zhang
Clemson University

A/B testing is a common controlled experiment approach used to compare two versions of internet-based products. IT companies often conduct A/B testing on their users who are connected in a social network. The users’ responses could be related to the network connection, leading to two typical assumptions: network interference and network correlated outcomes. I will discuss the general problems of network A/B testing design and their relationship with graph cut objectives under the two assumptions. Further, I will show the asymptotic distributions of graph cut objectives to enable rerandomization algorithms for the design of network A/B testing.

Wednesday, October 4, 2023 - 4:00pm
LGRT 1681