Saved in:
| Main Authors: | Boutin, Rémi, Latouche, Pierre, Bouveyron, Charles |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.01302 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges
by: Boutin, Rémi, et al.
Published: (2023)
by: Boutin, Rémi, et al.
Published: (2023)
Co-Clustering Multi-View Data Using the Latent Block Model
by: Tobin, Joshua, et al.
Published: (2024)
by: Tobin, Joshua, et al.
Published: (2024)
Mixed Latent Position Cluster Models for Networks
by: Lu, Chaoyi, et al.
Published: (2026)
by: Lu, Chaoyi, et al.
Published: (2026)
A Latent Position Co-Clustering Model for Multiplex Networks
by: Clarke, C. J., et al.
Published: (2025)
by: Clarke, C. J., et al.
Published: (2025)
CALF-SBM: A Covariate-Assisted Latent Factor Stochastic Block Model
by: Louit, Sydney, et al.
Published: (2025)
by: Louit, Sydney, et al.
Published: (2025)
A Zero-Inflated Poisson Latent Position Cluster Model
by: Lu, Chaoyi, et al.
Published: (2025)
by: Lu, Chaoyi, et al.
Published: (2025)
Model-based Clustering for Network Data via a Latent Shrinkage Position Cluster Model
by: Gwee, Xian Yao, et al.
Published: (2023)
by: Gwee, Xian Yao, et al.
Published: (2023)
Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles
by: Szwagier, Tom, et al.
Published: (2025)
by: Szwagier, Tom, et al.
Published: (2025)
Variational Inference for the Latent Shrinkage Position Model
by: Gwee, Xian Yao, et al.
Published: (2023)
by: Gwee, Xian Yao, et al.
Published: (2023)
A Latent Shrinkage Position Model for Binary and Count Network Data
by: Gwee, Xian Yao, et al.
Published: (2022)
by: Gwee, Xian Yao, et al.
Published: (2022)
A Dynamic Stochastic Block Model for Multidimensional Networks
by: López, Ovielt Baltodano, et al.
Published: (2022)
by: López, Ovielt Baltodano, et al.
Published: (2022)
Balanced Stochastic Block Model for Community Detection in Signed Networks
by: Chen, Yichao, et al.
Published: (2026)
by: Chen, Yichao, et al.
Published: (2026)
Perfect Clustering for Sparse Directed Stochastic Block Models
by: Aalipur, Behzad, et al.
Published: (2026)
by: Aalipur, Behzad, et al.
Published: (2026)
The Bradley-Terry Stochastic Block Model
by: Santi, Lapo, et al.
Published: (2025)
by: Santi, Lapo, et al.
Published: (2025)
Wavelet Latent Position Exponential Random Graphs
by: Papamichalis, Marios, et al.
Published: (2025)
by: Papamichalis, Marios, et al.
Published: (2025)
Adjusted Random Effect Block Bootstraps for Highly Unbalanced Clustered Data
by: Tho, Zhi Yang, et al.
Published: (2025)
by: Tho, Zhi Yang, et al.
Published: (2025)
Design-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTs
by: Schochet, Peter Z., et al.
Published: (2020)
by: Schochet, Peter Z., et al.
Published: (2020)
Examination of Nonlinear Longitudinal Processes with Latent Variables, Latent Processes, Latent Changes, and Latent Classes in the Structural Equation Modeling Framework: The R package nlpsem
by: Liu, Jin
Published: (2023)
by: Liu, Jin
Published: (2023)
Bayesian Distance-to-Set Models: from Latent Variable to Latent Projection
by: Duan, Leo L, et al.
Published: (2026)
by: Duan, Leo L, et al.
Published: (2026)
Identifiable Deep Latent Variable Models for MNAR Data
by: Xie, Huiming, et al.
Published: (2026)
by: Xie, Huiming, et al.
Published: (2026)
Collapsed Structured Block Models for Community Detection in Complex Networks
by: Papamichalis, Marios, et al.
Published: (2026)
by: Papamichalis, Marios, et al.
Published: (2026)
Multi-relational Network Autoregression Model with Latent Group Structures
by: Ren, Yimeng, et al.
Published: (2024)
by: Ren, Yimeng, et al.
Published: (2024)
Local Information for Global Network Estimation in Latent Space Models
by: Wang, Lijia, et al.
Published: (2025)
by: Wang, Lijia, et al.
Published: (2025)
The Building Blocks of Classical Nonparametric Two-Sample Testing Procedures: Statistically Equivalent Blocks
by: Holcombe, Chase
Published: (2025)
by: Holcombe, Chase
Published: (2025)
Generalized Network Psychometrics: Combining Network and Latent Variable Models
by: Epskamp, Sacha, et al.
Published: (2016)
by: Epskamp, Sacha, et al.
Published: (2016)
Knowledge Distillation of Uncertainty using Deep Latent Factor Model
by: Park, Sehyun, et al.
Published: (2025)
by: Park, Sehyun, et al.
Published: (2025)
Efficient Analysis of Latent Spaces in Heterogeneous Networks
by: Tian, Yuang, et al.
Published: (2024)
by: Tian, Yuang, et al.
Published: (2024)
Probabilistic Clustering using Shared Latent Variable Model for Assessing Alzheimers Disease Biomarkers
by: Xu, Yizhen, et al.
Published: (2024)
by: Xu, Yizhen, et al.
Published: (2024)
Variational Nonparametric Inference in Functional Stochastic Block Model
by: Shang, Zuofeng, et al.
Published: (2024)
by: Shang, Zuofeng, et al.
Published: (2024)
Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)
by: Li, Jinming, et al.
Published: (2023)
Hyperbolic Network Latent Space Model with Learnable Curvature
by: Li, Jinming, et al.
Published: (2023)
by: Li, Jinming, et al.
Published: (2023)
Covariate Selection for Joint Latent Space Modeling of Sparse Network Data
by: Crenshaw, Emma G, et al.
Published: (2026)
by: Crenshaw, Emma G, et al.
Published: (2026)
Hyperbolic Latent Space Models for Network Embedding: Model Specification and Bayesian Inference
by: Gong, Yiwei, et al.
Published: (2026)
by: Gong, Yiwei, et al.
Published: (2026)
A Bayesian Dynamic Latent Space Model for Weighted Networks
by: Casarin, Roberto, et al.
Published: (2026)
by: Casarin, Roberto, et al.
Published: (2026)
Bayesian Modeling of the Stochastic Block Model for Weighted Network Data with Zero-Inflated Negative Binomial Distribution
by: Iwashige, Fumiya
Published: (2026)
by: Iwashige, Fumiya
Published: (2026)
Identifiability of Latent Class Models with Covariates
by: Ouyang, Jing, et al.
Published: (2021)
by: Ouyang, Jing, et al.
Published: (2021)
Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study
by: Alegría, Alfredo
Published: (2024)
by: Alegría, Alfredo
Published: (2024)
A Bayesian Framework for Latent Compliance Modeling in Cluster Randomized Trials with One-Sided Noncompliance
by: Sisti, Anthony, et al.
Published: (2025)
by: Sisti, Anthony, et al.
Published: (2025)
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection
by: Ohl, Louis, et al.
Published: (2023)
by: Ohl, Louis, et al.
Published: (2023)
A Note on the Identifiability of the Degree-Corrected Stochastic Block Model
by: Park, John, et al.
Published: (2024)
by: Park, John, et al.
Published: (2024)
Similar Items
-
The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges
by: Boutin, Rémi, et al.
Published: (2023) -
Co-Clustering Multi-View Data Using the Latent Block Model
by: Tobin, Joshua, et al.
Published: (2024) -
Mixed Latent Position Cluster Models for Networks
by: Lu, Chaoyi, et al.
Published: (2026) -
A Latent Position Co-Clustering Model for Multiplex Networks
by: Clarke, C. J., et al.
Published: (2025) -
CALF-SBM: A Covariate-Assisted Latent Factor Stochastic Block Model
by: Louit, Sydney, et al.
Published: (2025)