Tractably modelling dependence in networks beyond exchangeability
From MaRDI portal
Publication:6632619
DOI10.3150/24-BEJ1740MaRDI QIDQ6632619
Weichi Wu, Sofia C. Olhede, Patrick J. Wolfe
Publication date: 5 November 2024
Published in: Bernoulli (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Pseudo-likelihood methods for community detection in large sparse networks
- Fast community detection by SCORE
- Rate-optimal graphon estimation
- Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
- Nonparametric link prediction in large scale dynamic networks
- Coauthorship and citation networks for statisticians
- Oracle inequalities for network models and sparse graphon estimation
- Spectral clustering and the high-dimensional stochastic blockmodel
- The power grid as a complex network: a survey
- On semidefinite relaxations for the block model
- Consistency of community detection in networks under degree-corrected stochastic block models
- Minimax rates in network analysis: graphon estimation, community detection and hypothesis testing
- Consistent nonparametric estimation for heavy-tailed sparse graphs
- Community detection with dependent connectivity
- Sampling perspectives on sparse exchangeable graphs
- Sampling and estimation for (sparse) exchangeable graphs
- Local stationarity and time-inhomogeneous Markov chains
- Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
- On the asymptotic normality of estimating the affine preferential attachment network models with random initial degrees
- Inference of weighted \(V\)-statistics for nonstationary time series and its applications
- Combinatorial stochastic processes. Ecole d'Eté de Probabilités de Saint-Flour XXXII -- 2002.
- Optimal estimation and completion of matrices with biclustering structures
- Stochastic blockmodels with a growing number of classes
- A nonparametric view of network models and Newman–Girvan and other modularities
- Emergence of Scaling in Random Networks
- Nonlinear Time Series
- Metrics for sparse graphs
- Sparse exchangeable graphs and their limits via graphon processes
- Edge Exchangeable Models for Interaction Networks
- Sparse Graphs Using Exchangeable Random Measures
- Simultaneous Inference of Linear Models with Time Varying Coefficients
- Detecting Overlapping Communities in Networks Using Spectral Methods
- Degree‐based goodness‐of‐fit tests for heterogeneous random graph models: Independent and exchangeable cases
- An 𝐿^{𝑝} theory of sparse graph convergence I: Limits, sparse random graph models, and power law distributions
- Heteroscedasticity and Autocorrelation Robust Structural Change Detection
- Nonlinear system theory: Another look at dependence
- The Rotation of Eigenvectors by a Perturbation. III
- Probabilistic Symmetries and Invariance Principles
- Hierarchical Community Detection by Recursive Partitioning
- Introduction to nonparametric estimation
- Nonparametric Inference for Time-Varying Coefficient Quantile Regression
This page was built for publication: Tractably modelling dependence in networks beyond exchangeability
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6632619)