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Bootstrapping networks with latent space structure

https://doi.org/10.1214/25-ejs2347
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470316481openalex-snapshot
Approximation Theorems of Mathematical Statistics
inferredcites →https://doi.org/10.1007/978-1-4612-2532-4openalex-snapshot
The Weighted Bootstrap
inferredcites →https://doi.org/10.1007/978-1-4757-3803-2openalex-snapshot
Resampling Methods for Dependent Data
inferredcites →https://doi.org/10.1007/978-3-540-77004-6_11openalex-snapshot
Random Dot Product Graph Models for Social Networks
inferredcites →https://doi.org/10.1007/978-981-13-2248-8openalex-snapshot
U-Statistics, Mm-Estimators and Resampling
inferredcites →https://doi.org/10.1007/s000100050025openalex-snapshot
Graph similarity and distance in graphs
inferredcites →https://doi.org/10.1016/j.csda.2005.09.010openalex-snapshot
Automatic dimensionality selection from the scree plot via the use of profile likelihood
inferredcites →https://doi.org/10.1016/j.jspi.2013.03.018openalex-snapshot
Energy statistics: A class of statistics based on distances
inferredcites →https://doi.org/10.1016/j.physa.2011.12.021openalex-snapshot
Social structure of Facebook networks
inferredcites →https://doi.org/10.1021/ja00856a001openalex-snapshot
Characterization of molecular branching
inferredcites →https://doi.org/10.1073/pnas.1400374111openalex-snapshot
Network histograms and universality of blockmodel approximation
inferredcites →https://doi.org/10.1080/01621459.2012.699795openalex-snapshot
A Consistent Adjacency Spectral Embedding for Stochastic Blockmodel Graphs
inferredcites →https://doi.org/10.1080/01621459.2015.1008697openalex-snapshot
Testing and Modeling Dependencies Between a Network and Nodal Attributes
inferredcites →https://doi.org/10.1080/01621459.2020.1778482openalex-snapshot
Estimation of Subgraph Densities in Noisy Networks
inferredcites →https://doi.org/10.1080/01621459.2021.1948419openalex-snapshot
Efficient Estimation for Random Dot Product Graphs via a One-Step Procedure
inferredcites →https://doi.org/10.1080/10618600.2016.1193505openalex-snapshot
A Semiparametric Two-Sample Hypothesis Testing Problem for Random Graphs
inferredcites →https://doi.org/10.1090/coll/060openalex-snapshot
Large Networks and Graph Limits
inferredcites →https://doi.org/10.1093/biomet/63.3.573openalex-snapshot
Some properties of incomplete U-statistics
inferredcites →https://doi.org/10.1093/biomet/asaa006openalex-snapshot
Network cross-validation by edge sampling
inferredcites →https://doi.org/10.1093/biomet/asac032openalex-snapshot
Subsampling sparse graphons under minimal assumptions
inferredcites →https://doi.org/10.1093/biomet/asv008openalex-snapshot
A useful variant of the Davis–Kahan theorem for statisticians
inferredcites →https://doi.org/10.1093/biomet/asz045openalex-snapshot
Network dependence testing via diffusion maps and distance-based correlations
inferredcites →https://doi.org/10.1109/tcbb.2006.51openalex-snapshot
Efficient Detection of Network Motifs
inferredcites →https://doi.org/10.1109/tnse.2016.2634322openalex-snapshot
Community Detection and Classification in Hierarchical Stochastic Blockmodels
inferredcites →https://doi.org/10.1111/rssb.12117openalex-snapshot
Hypothesis Testing for Automated Community Detection in Networks
inferredcites →https://doi.org/10.1111/rssb.12509openalex-snapshot
A Statistical Interpretation of Spectral Embedding: The Generalised Random Dot Product Graph
inferredcites →https://doi.org/10.1137/1.9781611975321.38openalex-snapshot
A Family of Tractable Graph Distances
inferredcites →https://doi.org/10.1137/120875600openalex-snapshot
Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown
inferredcites →https://doi.org/10.1198/016214502388618906openalex-snapshot
Latent Space Approaches to Social Network Analysis
inferredcites →https://doi.org/10.1201/9780429246593openalex-snapshot
An Introduction to the Bootstrap
inferredcites →https://doi.org/10.1214/11-aos904openalex-snapshot
The method of moments and degree distributions for network models
inferredcites →https://doi.org/10.1214/13-aos1124openalex-snapshot
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
inferredcites →https://doi.org/10.1214/14-aos1274openalex-snapshot
Consistency of spectral clustering in stochastic block models
inferredcites →https://doi.org/10.1214/14-ejs978openalex-snapshot
Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding
inferredcites →https://doi.org/10.1214/15-aop1025openalex-snapshot
Sharp nonasymptotic bounds on the norm of random matrices with independent entries
inferredcites →https://doi.org/10.1214/15-aos1338openalex-snapshot
Subsampling bootstrap of count features of networks
inferredcites →https://doi.org/10.1214/15-aos1370openalex-snapshot
A goodness-of-fit test for stochastic block models
inferredcites →https://doi.org/10.1214/18-aos1697openalex-snapshot
Testing in high-dimensional spiked models
inferredcites →https://doi.org/10.1214/18-aos1773openalex-snapshot
Randomized incomplete $U$-statistics in high dimensions
inferredcites →https://doi.org/10.1214/20-aos1953openalex-snapshot
Optimal change point detection and localization in sparse dynamic networks
inferredcites →https://doi.org/10.1214/20-aos1976openalex-snapshot
Network representation using graph root distributions
inferredcites →https://doi.org/10.1214/20-aos1981openalex-snapshot
Empirical process results for exchangeable arrays
inferredcites →https://doi.org/10.1214/21-aos2125openalex-snapshot
Edgeworth expansions for network moments
inferredcites →https://doi.org/10.1214/21-ejs1896openalex-snapshot
Bootstrapping exchangeable random graphs
inferredcites →https://doi.org/10.1214/23-aos2282openalex-snapshot
Universal rank inference via residual subsampling with application to large networks
inferredcites →https://doi.org/10.1214/23-ejs2169openalex-snapshot
Consistency of maximum likelihood for continuous-space network models I
inferredcites →https://doi.org/10.1214/aoms/1177730196openalex-snapshot
A Class of Statistics with Asymptotically Normal Distribution
inferredcites →https://doi.org/10.1214/aop/1078415845openalex-snapshot
CLT for linear spectral statistics of large-dimensional sample covariance matrices
inferredcites →https://doi.org/10.1214/aos/1176345637openalex-snapshot
Some Asymptotic Theory for the Bootstrap
inferredcites →https://doi.org/10.1214/aos/1176348650openalex-snapshot
On the Bootstrap of $U$ and $V$ Statistics
inferredcites →https://doi.org/10.1214/aos/1176349399openalex-snapshot
Consistency of the Generalized Bootstrap for Degenerate $U$-Statistics
inferredcites →https://doi.org/10.1561/0100000067openalex-snapshot
Community Detection and Stochastic Block Models
inferredcites →https://doi.org/10.1609/aaai.v29i1.9277openalex-snapshot
The Network Data Repository with Interactive Graph Analytics and Visualization
inferredcites →https://doi.org/10.21136/cmj.1973.101168openalex-snapshot
Algebraic connectivity of graphs
inferredcites →https://doi.org/10.3150/15-bej789openalex-snapshot
A nonparametric two-sample hypothesis testing problem for random graphs
inferredcites →https://doi.org/10.3150/19-bej1151openalex-snapshot
Convergence and concentration of empirical measures under Wasserstein distance in unbounded functional spaces
inferredcites →https://doi.org/10.3150/21-bej1376openalex-snapshot
Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator
inferredcites →https://doi.org/10.37236/3576openalex-snapshot
Spectra of Edge-Independent Random Graphs
inferredcites →https://doi.org/10.3982/ecta15383openalex-snapshot
Bootstrap With Cluster‐Dependence in Two or More Dimensions
inferredcites →https://doi.org/10.48550/arxiv.0705.4485openalex-snapshot
Mixed membership stochastic blockmodels
inferredcites →https://doi.org/10.48550/arxiv.1709.05454openalex-snapshot
Statistical inference on random dot product graphs: a survey
inferredcites →https://doi.org/10.48550/arxiv.2207.01702openalex-snapshot
Statistical inference of random graphs with a surrogate likelihood function

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/sta4.429openalex-snapshot
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics
inferred← citeshttps://doi.org/10.1080/01621459.2023.2250091openalex-snapshot
Empirical Likelihood for Network Data
inferred← citeshttps://doi.org/10.1080/01621459.2025.2520459openalex-snapshot
Higher-Order Accurate Two-Sample Network Inference and Network Hashing
inferred← citeshttps://doi.org/10.1080/10618600.2024.2432974openalex-snapshot
Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling
inferred← citeshttps://doi.org/10.1080/10618600.2025.2509588openalex-snapshot
A Bootstrap-based Method for Testing Similarity of Matched Networks
inferred← citeshttps://doi.org/10.1080/10618600.2025.2590073openalex-snapshot
A Unified Framework for Community Detection and Model Selection in Blockmodels
inferred← citeshttps://doi.org/10.1093/biomet/asac032openalex-snapshot
Subsampling sparse graphons under minimal assumptions
inferred← citeshttps://doi.org/10.1093/imaiai/iaag001openalex-snapshot
Characterization of the asymptotic behaviour of U -statistics on row-column exchangeable matrices
inferred← citeshttps://doi.org/10.1093/jrsssb/qkae052openalex-snapshot
Authors’ reply to the Discussion of ‘Root and community inference on the latent growth process of a network’
inferred← citeshttps://doi.org/10.1101/2024.08.08.607205openalex-snapshot
PyBootNet: A Python Package for Bootstrapping and Network Construction
inferred← citeshttps://doi.org/10.1175/jcli-d-22-0549.1openalex-snapshot
Pitfalls of Climate Network Construction—A Statistical Perspective
inferred← citeshttps://doi.org/10.1214/20-ejs1789openalex-snapshot
Bootstrap estimators for the tail-index and for the count statistics of graphex processes
inferred← citeshttps://doi.org/10.1214/21-aos2125openalex-snapshot
Edgeworth expansions for network moments
inferred← citeshttps://doi.org/10.1214/21-ejs1896openalex-snapshot
Bootstrapping exchangeable random graphs
inferred← citeshttps://doi.org/10.1214/25-aos2520openalex-snapshot
Higher-order entrywise eigenvectors analysis of low-rank random matrices: Bias correction, Edgeworth expansion and bootstrap
inferred← citeshttps://doi.org/10.1214/25-ejs2364openalex-snapshot
Testing for the network small-world property
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Nonparametric two-sample hypothesis testing for low-rank random graphs of differing sizes
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An omnibus embedding of multiple random graphs and implications for multiscale network inference
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Local-to-Global Wedge Retention in Heavy-Tailed Geometric Random Graphs
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On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models
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On the Theoretical Properties of the Network Jackknife
inferred← citeshttps://doi.org/10.48550/arxiv.2009.06170openalex-snapshot
Trading off Accuracy for Speedup: Multiplier Bootstraps for Subgraph Counts
inferred← citeshttps://doi.org/10.48550/arxiv.2108.03336openalex-snapshot
Estimating Graph Dimension with Cross-validated Eigenvalues
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PyBootNet: a python package for bootstrapping and network construction
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