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Some Impossibility Results for Inference With Cluster Dependence with Large Clusters
When within-cluster observations satisfy the uniform central limit theorem, we also show that a sufficient condition for consistent $\sqrt{n}$-discrimination of the mean is that we have at least two large clusters.
The Bootstrap for Network Dependent Processes
This paper focuses on the bootstrap for network dependent processes under the conditional $\psi$-weak dependence.
Limit Theorems for Network Dependent Random Variables
This paper is concerned with cross-sectional dependence arising because observations are interconnected through an observed network.
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