791 citations · 2.5k across the 58 of their papers we have counts for
4 papers · 2 filters
Evaluating and Optimizing Network Sampling Designs: Decision Theory and Information Theory Perspectives
Simón Lunagómez, Marios Papamichalis, Patrick J. Wolfe +1
Some of the most used sampling mechanisms that implicitly leverage a social network depend on tuning parameters; for instance, Respondent-Driven Sampling (RDS) is specified by the…
A systematic investigation of classical causal inference strategies under mis-specification due to network interference
Vishesh Karwa, Edoardo M. Airoldi
We systematically investigate issues due to mis-specification that arise in estimating causal effects when (treatment) interference is informed by a network available pre-intervent…
Estimating Causal Effects Under Interference Using Bayesian Generalized Propensity Scores
Laura Forastiere, Fabrizia Mealli, Albert Wu +1
In most real-world systems units are interconnected and can be represented as networks consisting of nodes and edges. For instance, in social systems individuals can have social ti…
Optimizing cluster-based randomized experiments under a monotonicity assumption
Jean Pouget-Abadie, David C. Parkes, Vahab Mirrokni +1
Cluster-based randomized experiments are popular designs for mitigating the bias of standard estimators when interference is present and classical causal inference and experimental…