Hypothesis testing for populations of networks
From MaRDI portal
Publication:6107543
DOI10.1080/03610926.2021.1977961arXiv1911.03783OpenAlexW3201517316WikidataQ116034651 ScholiaQ116034651MaRDI QIDQ6107543
No author found.
Publication date: 3 July 2023
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1911.03783
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Two-sample Hypothesis Testing for Inhomogeneous Random Graphs
- Spectral clustering and the high-dimensional stochastic blockmodel
- The screening and ranking algorithm to detect DNA copy number variations
- Consistencies and rates of convergence of jump-penalized least squares estimators
- On semidefinite relaxations for the block model
- On orthogonal and symplectic matrix ensembles
- Averages of unlabeled networks: geometric characterization and asymptotic behavior
- Network classification with applications to brain connectomics
- Graph-based change-point detection
- Hypothesis testing for network data in functional neuroimaging
- Nonparametric maximum likelihood approach to multiple change-point problems
- Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome
- Omnibus CLTs for Fréchet means and nonparametric inference on non-Euclidean spaces
- A nonparametric view of network models and Newman–Girvan and other modularities
- Empirical Analysis of an Evolving Social Network
- A multilevel network study of the effects of delinquent behavior on friendship evolution
- Latent Space Approaches to Social Network Analysis
- Network Tomography: Identifiability and Fourier Domain Estimation
- Tight Wavelet Frames on Multislice Graphs
- Differential Markov random field analysis with an application to detecting differential microbial community networks
- Estimating network edge probabilities by neighbourhood smoothing
- A goodness-of-fit test for stochastic block models
This page was built for publication: Hypothesis testing for populations of networks
