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09/11/2023
Demystifying Statistical Matching Algorithms for Big Data
Statistical matching is an effective method for estimating causal effect...
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07/27/2023
Estimation of Causal Effects Under K-Nearest Neighbors Interference
Considerable recent work has focused on methods for analyzing experiment...
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03/30/2022
Detecting Treatment Interference under the K-Nearest-Neighbors Interference Model
We propose a model of treatment interference where the response of a uni...
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02/19/2020
The Benefits of Probability-Proportional-to-Size Sampling in Cluster-Randomized Experiments
In a cluster-randomized experiment, treatment is assigned to clusters of...
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10/02/2019
A new method for quantifying network cyclic structure to improve community detection
A distinguishing property of communities in networks is that cycles are ...
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04/22/2019