Learning cross-layer dependence structure in multilayer networks
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Jiaheng, Stewart, Jonathan R. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Autoregressive networks with dependent edges
by: Chang, Jinyuan, et al.
Published: (2024)
by: Chang, Jinyuan, et al.
Published: (2024)
Uncertainty quantification for mixed membership in multilayer networks with degree heterogeneity using Gaussian variational inference
by: Xie, Fangzheng, et al.
Published: (2025)
by: Xie, Fangzheng, et al.
Published: (2025)
Profile monitoring of random functions with Gaussian process basis expansions
by: Iguchi, Takayuki, et al.
Published: (2025)
by: Iguchi, Takayuki, et al.
Published: (2025)
On inference for modularity statistics in structured networks
by: Mitra, Anirban, et al.
Published: (2024)
by: Mitra, Anirban, et al.
Published: (2024)
Valid and efficient possibilistic structure learning in Gaussian linear regression
by: Martin, Ryan, et al.
Published: (2025)
by: Martin, Ryan, et al.
Published: (2025)
Gaussian dependence structure pairwise goodness-of-fit testing based on conditional covariance and the 20/60/20 rule
by: Woźny, Jakub, et al.
Published: (2024)
by: Woźny, Jakub, et al.
Published: (2024)
How many asymmetric communities are there in multi-layer directed networks?
by: Qing, Huan
Published: (2026)
by: Qing, Huan
Published: (2026)
Graph fission and cross-validation
by: Leiner, James, et al.
Published: (2024)
by: Leiner, James, et al.
Published: (2024)
On the inverse of covariance matrices for unbalanced crossed designs
by: Lyu, Ziyang, et al.
Published: (2025)
by: Lyu, Ziyang, et al.
Published: (2025)
Markov Random Fields with Proximity Constraints for Spatial Data
by: Saha, Sudipto, et al.
Published: (2024)
by: Saha, Sudipto, et al.
Published: (2024)
Trends in tail dependence of heteroscedastic extremes
by: Einmahl, John H. J., et al.
Published: (2026)
by: Einmahl, John H. J., et al.
Published: (2026)
High-dimensional copula-based Wasserstein dependence
by: De Keyser, Steven, et al.
Published: (2024)
by: De Keyser, Steven, et al.
Published: (2024)
Calibrated Model Criticism Using Split Predictive Checks
by: Li, Jiawei, et al.
Published: (2022)
by: Li, Jiawei, et al.
Published: (2022)
Structurally Aware Robust Model Selection for Mixtures
by: Li, Jiawei, et al.
Published: (2024)
by: Li, Jiawei, et al.
Published: (2024)
Increasing dimension asymptotics for two-way crossed mixed effect models
by: Lyu, Ziyang, et al.
Published: (2024)
by: Lyu, Ziyang, et al.
Published: (2024)
Equivalence testing with data-dependent and post-hoc equivalence margins
by: Koobs, Stan, et al.
Published: (2026)
by: Koobs, Stan, et al.
Published: (2026)
A Frequency-Domain NonStationarity Test for dependent data
by: Haye, Mohamedou Ould, et al.
Published: (2025)
by: Haye, Mohamedou Ould, et al.
Published: (2025)
Fast localization of anomalous patches in spatial data under dependence
by: Bonnerjee, Soham, et al.
Published: (2026)
by: Bonnerjee, Soham, et al.
Published: (2026)
Detection and inference of changes in high-dimensional linear regression with non-sparse structures
by: Cho, Haeran, et al.
Published: (2024)
by: Cho, Haeran, et al.
Published: (2024)
Quantification and cross-fitting inference of asymmetric relations under generative exposure mapping models
by: Purkayastha, Soumik, et al.
Published: (2023)
by: Purkayastha, Soumik, et al.
Published: (2023)
Multimodal data integration and cross-modal querying via orchestrated approximate message passing
by: Nandy, Sagnik, et al.
Published: (2024)
by: Nandy, Sagnik, et al.
Published: (2024)
Partial correlation networks of Gaussian processes
by: Peruzzi, Michele
Published: (2026)
by: Peruzzi, Michele
Published: (2026)
Extremes of structural causal models
by: Engelke, Sebastian, et al.
Published: (2025)
by: Engelke, Sebastian, et al.
Published: (2025)
Inference in semiparametric formation models for directed networks
by: Qu, Lianqiang, et al.
Published: (2024)
by: Qu, Lianqiang, et al.
Published: (2024)
Event history analysis with time-dependent covariates via landmarking supermodels and boosted trees
by: Sandqvist, Oliver Lunding
Published: (2026)
by: Sandqvist, Oliver Lunding
Published: (2026)
Controlling the false discovery rate under a non-parametric graphical dependence model
by: Nguyen, Drew T., et al.
Published: (2025)
by: Nguyen, Drew T., et al.
Published: (2025)
A direct extension of Azadkia & Chatterjee's rank correlation to multi-response vectors
by: Ansari, Jonathan, et al.
Published: (2022)
by: Ansari, Jonathan, et al.
Published: (2022)
Inference for location and height of peaks of a standardized field after selection
by: Green, Alden, et al.
Published: (2025)
by: Green, Alden, et al.
Published: (2025)
Prior distributions for structured semi-orthogonal matrices
by: Jauch, Michael, et al.
Published: (2025)
by: Jauch, Michael, et al.
Published: (2025)
A spectral inference method for determining the number of communities in networks
by: Wu, Yujia, et al.
Published: (2026)
by: Wu, Yujia, et al.
Published: (2026)
Multiple testing under negative dependence
by: Chi, Ziyu, et al.
Published: (2022)
by: Chi, Ziyu, et al.
Published: (2022)
Large-sample theory for inferential models: a possibilistic Bernstein--von Mises theorem
by: Martin, Ryan, et al.
Published: (2024)
by: Martin, Ryan, et al.
Published: (2024)
Continuous-time structural failure time model for intermittent treatment
by: Wang, Guanbo, et al.
Published: (2024)
by: Wang, Guanbo, et al.
Published: (2024)
Robust Model Selection for Discovery of Latent Mechanistic Processes
by: Li, Jiawei, et al.
Published: (2026)
by: Li, Jiawei, et al.
Published: (2026)
KL-BSS: Rethinking optimality for neighbourhood selection in structural equation models
by: Gao, Ming, et al.
Published: (2023)
by: Gao, Ming, et al.
Published: (2023)
Using prior information to boost power in correlation structure support recovery
by: Ding, Ziyang, et al.
Published: (2021)
by: Ding, Ziyang, et al.
Published: (2021)
Generalized network autoregressive modelling of longitudinal networks with application to presidential elections in the USA
by: Nason, Guy, et al.
Published: (2025)
by: Nason, Guy, et al.
Published: (2025)
Consistency of empirical distributions of sequences of graph statistics in networks with dependent edges
by: Stewart, Jonathan R.
Published: (2024)
by: Stewart, Jonathan R.
Published: (2024)
Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference
by: Eichhorn, Matthew, et al.
Published: (2024)
by: Eichhorn, Matthew, et al.
Published: (2024)
Robust estimations from distribution structures: I. Mean
by: Tuobang, Li
Published: (2024)
by: Tuobang, Li
Published: (2024)
Similar Items
-
Autoregressive networks with dependent edges
by: Chang, Jinyuan, et al.
Published: (2024) -
Uncertainty quantification for mixed membership in multilayer networks with degree heterogeneity using Gaussian variational inference
by: Xie, Fangzheng, et al.
Published: (2025) -
Profile monitoring of random functions with Gaussian process basis expansions
by: Iguchi, Takayuki, et al.
Published: (2025) -
On inference for modularity statistics in structured networks
by: Mitra, Anirban, et al.
Published: (2024) -
Valid and efficient possibilistic structure learning in Gaussian linear regression
by: Martin, Ryan, et al.
Published: (2025)