Network cluster-robust inference

Applications of statistics to economics (62P20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Social networks; opinion dynamics (91D30) Random graphs (graph-theoretic aspects) (05C80) Graphs and linear algebra (matrices, eigenvalues, etc.) (05C50)

Cites Work

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Longitudinal data analysis using generalized linear models
Spectral clustering and the high-dimensional stochastic blockmodel
Metric uniformization and spectral bounds for graphs
Inference with dependent data using cluster covariance estimators
The isoperimetric number of random regular graphs
Laplacians and the Cheeger inequality for directed graphs
Asymptotic theory for clustered samples
Limit theorems for network dependent random variables
Consistency of spectral clustering in stochastic block models
Optimal Cheeger cuts and bisections of random geometric graphs
On the implementation of approximate randomization tests in linear models with a small number of clusters
Consistency of Cheeger and ratio graph cuts
t-Statistic Based Correlation and Heterogeneity Robust Inference
Spectral Gaps of Random Graphs and Applications
Expander graphs and their applications
Randomization Tests Under an Approximate Symmetry Assumption
Knowledge Spillovers through Networks of Scientists
Causal Inference Under Approximate Neighborhood Interference
Fixed‐Effect Regressions on Network Data
Fast unfolding of communities in large networks
The phase transition in inhomogeneous random graphs
Multi-way spectral partitioning and higher-order cheeger inequalities
On the Laplacian Eigenvalues of G_n,p
Partitioning Well-Clustered Graphs: Spectral Clustering Works!
SOFSEM 2006: Theory and Practice of Computer Science
Spatial correlation robust inference
Network cluster-robust inference