Cover Image

CALF-SBM: A Covariate-Assisted Latent Factor Stochastic Block Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Louit, Sydney, Clark, Evan, Gelbard, Alexander, Vivek, Niketna, Yan, Jun, Zhang, Panpan
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Covariate Connectivity Combined Clustering for Weighted Networks
by: Hu, Zeyu, et al.
Published: (2025)

Stochastic Block Covariance Matrix Estimation
by: Chen, Yunran, et al.
Published: (2025)

Identifiability of Latent Class Models with Covariates
by: Ouyang, Jing, et al.
Published: (2021)

The Deep Latent Position Block Model For The Block Clustering And Latent Representation Of Networks
by: Boutin, Rémi, et al.
Published: (2024)

Covariate Selection for Joint Latent Space Modeling of Sparse Network Data
by: Crenshaw, Emma G, et al.
Published: (2026)

Factor Analysis of Multivariate Stochastic Volatility Model
by: Lee, Taehee, et al.
Published: (2026)

The Bradley-Terry Stochastic Block Model
by: Santi, Lapo, et al.
Published: (2025)

A Restricted Latent Class Model with Polytomous Attributes and Respondent-Level Covariates
by: Wayman, Eric Alan, et al.
Published: (2024)

Inference on Generalized Latent Variable Models with High-Dimensional Responses and Covariates
by: Ouyang, Jing, et al.
Published: (2026)

Robust High-Dimensional Covariate-Assisted Network Modeling
by: Zhao, Peng, et al.
Published: (2025)

A Note on the Identifiability of the Degree-Corrected Stochastic Block Model
by: Park, John, et al.
Published: (2024)

A Dynamic Stochastic Block Model for Multidimensional Networks
by: López, Ovielt Baltodano, et al.
Published: (2022)

Variational Nonparametric Inference in Functional Stochastic Block Model
by: Shang, Zuofeng, et al.
Published: (2024)

Co-Clustering Multi-View Data Using the Latent Block Model
by: Tobin, Joshua, et al.
Published: (2024)

A Latent Factor Panel Approach to Spatiotemporal Causal Inference
by: Wu, Jiaxi, et al.
Published: (2025)

From Stochasticity to Signal: A Bayesian Latent State Model for Reliable Measurement with LLMs
by: Zhang, Yichi, et al.
Published: (2025)

Modeling Covariate Feedback, Reversal, and Latent Traits in Longitudinal Data: A Joint Hierarchical Framework
by: Ramezani, Niloofar, et al.
Published: (2026)

Balanced Stochastic Block Model for Community Detection in Signed Networks
by: Chen, Yichao, et al.
Published: (2026)

Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework
by: Zhang, Siliang, et al.
Published: (2020)

High-Dimensional Covariate-Augmented Overdispersed Poisson Factor Model
by: Liu, Wei, et al.
Published: (2024)

Nonparametric Block Bootstrap Kolmogorov-Smirnov Goodness-of-Fit Test
by: Chandy, Mathew, et al.
Published: (2025)

Individualized Dynamic Mediation Analysis Using Latent Factor Models
by: Zhang, Yijiao, et al.
Published: (2024)

Network Model Averaging Prediction for Latent Space Models by K-Fold Edge Cross-Validation
by: Zhang, Yan, et al.
Published: (2025)

A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs
by: Lee, Clement, et al.
Published: (2023)

Covariate-assisted Grade of Membership Models via Shared Latent Geometry
by: Xu, Zhiyu, et al.
Published: (2026)

Neural Posterior Estimation for Stochastic Epidemic Modeling
by: Chatha, Prayag, et al.
Published: (2024)

A Restricted Latent Class Hidden Markov Model for Polytomous Responses, Polytomous Attributes, and Covariates: Identifiability and Application
by: Wayman, Eric Alan, et al.
Published: (2025)

From Simple to Composite Perturbations: A Unified Decomposition Framework for Stochastic Block Models
by: Hu, Jianwei, et al.
Published: (2026)

Gaussian Graphical Models for Functional Connectivity Analysis: A Statistical Review with Applications to Alzheimer's Disease
by: Zhang, Panpan, et al.
Published: (2026)

Covariate-moderated Empirical Bayes Matrix Factorization
by: Denault, William R. P., et al.
Published: (2025)

Identifiability and Inference for Generalized Latent Factor Models
by: Cui, Chengyu, et al.
Published: (2025)

High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model
by: Liu, Wei, et al.
Published: (2024)

A Latent Factor Model for High-Dimensional Binary Data
by: Shi, Jiaxin, et al.
Published: (2024)

Covariate balancing with measurement error
by: Wen, Xialing, et al.
Published: (2024)

Online Learning for Autoregressive Multilayer Stochastic Block Models under Stationarity and Non-Stationarity
by: Wang, Fan, et al.
Published: (2026)

Subgroup Identification with Latent Factor Structure
by: He, Yong, et al.
Published: (2024)

Causal Inference for Latent Outcomes Learned with Factor Models
by: Landy, Jenna M., et al.
Published: (2025)

Bayesian Modeling of the Stochastic Block Model for Weighted Network Data with Zero-Inflated Negative Binomial Distribution
by: Iwashige, Fumiya
Published: (2026)

High-Dimensional Multi-Study Multi-Modality Covariate-Augmented Generalized Factor Model
by: Liu, Wei, et al.
Published: (2025)

Applying Non-negative Matrix Factorization with Covariates to the Longitudinal Data as Growth Curve Model
by: Satoh, Kenichi
Published: (2024)