3 papers
stat.ME2018
Evaluating stochastic seeding strategies in networks
Alex Chin, Dean Eckles, Johan Ugander
When trying to maximize the adoption of a behavior in a population connected by a social network, it is common to strategize about where in the network to seed the behavior, often…
stat.ME2018
Regression adjustments for estimating the global treatment effect in experiments with interference
Alex Chin
Standard estimators of the global average treatment effect can be biased in the presence of interference. This paper proposes regression adjustment estimators for removing bias due…
math.ST2018
Central limit theorems via Stein's method for randomized experiments under interference
Alex Chin
We study conditions under which treatment effect estimators constructed under the no-interference assumption in randomized experiments are asymptotically normal in the presence of…