Empirical Likelihood for Network Data

DOI10.1080/01621459.2023.2250091MaRDI QIDQ6631710

Yukitoshi Matsushita, Taisuke Otsu

Publication date: 1 November 2024

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Likelihood-based model selection for stochastic block models
• Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
• Oracle inequalities for network models and sparse graphon estimation
• Random graphs with a given degree sequence
• The method of moments and degree distributions for network models
• Subsampling bootstrap of count features of networks
• Statistical analysis of network data. Methods and models
• The jackknife estimate of variance
• Empirical likelihood inference for two-sample problems
• Empirical likelihood methods based on influence functions
• Edgeworth expansions for network moments
• A nonparametric view of network models and Newman–Girvan and other modularities
• Methodology and Algorithms of Empirical Likelihood
• Threshold Graph Limits and Random Threshold Graphs
• Graph limits and exchangeable random graphs
• Empirical likelihood ratio confidence intervals for a single functional
• Improving the jackknife with special reference to correlation estimation
• Latent Space Approaches to Social Network Analysis
• Consistent Moment Selection Procedures for Generalized Method of Moments Estimation
• Jackknife Empirical Likelihood
• The phase transition in inhomogeneous random graphs
• Probabilistic Symmetries and Invariance Principles
• Hypothesis Testing for Automated Community Detection in Networks

This page was built for publication: Empirical Likelihood for Network Data