Image de couverture de livre

A Latent Position Co-Clustering Model for Multiplex Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Clarke, C. J., Fop, Michael
Format:	Preprint
Publié:	2025
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Model-based Clustering for Network Data via a Latent Shrinkage Position Cluster Model
par: Gwee, Xian Yao, et autres
Publié: (2023)

A Latent Shrinkage Position Model for Binary and Count Network Data
par: Gwee, Xian Yao, et autres
Publié: (2022)

Variational Inference for the Latent Shrinkage Position Model
par: Gwee, Xian Yao, et autres
Publié: (2023)

Multiplex Dirichlet stochastic block model for clustering multidimensional compositional networks
par: Promskaia, Iuliia, et autres
Publié: (2024)

Mixed Latent Position Cluster Models for Networks
par: Lu, Chaoyi, et autres
Publié: (2026)

The Deep Latent Position Block Model For The Block Clustering And Latent Representation Of Networks
par: Boutin, Rémi, et autres
Publié: (2024)

Bayesian Deep Generative Models for Multiplex Networks with Multiscale Overlapping Clusters
par: Zhou, Yuren, et autres
Publié: (2024)

Scalable Durational Event Models: Application to Physical and Digital Interactions
par: Fritz, Cornelius, et autres
Publié: (2025)

A latent variable model for identifying and characterizing food adulteration
par: Casa, Alessandro, et autres
Publié: (2025)

A Zero-Inflated Poisson Latent Position Cluster Model
par: Lu, Chaoyi, et autres
Publié: (2025)

Community-level core-periphery structures in collaboration networks
par: Geremia, Sara, et autres
Publié: (2025)

Co-Clustering Multi-View Data Using the Latent Block Model
par: Tobin, Joshua, et autres
Publié: (2024)

A Dirichlet stochastic block model for composition-weighted networks
par: Promskaia, Iuliia, et autres
Publié: (2024)

Zero & $N$-inflated overdispersed binomial models for sum-constrained Poisson count processes
par: Sweeney, James, et autres
Publié: (2014)

The Multiplex $p_2$ Model: Mixed-Effects Modeling for Multiplex Social Networks
par: Hong, Anni, et autres
Publié: (2024)

Signed Diverse Multiplex Networks: Clustering and Inference
par: Pensky, Marianna
Publié: (2024)

The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges
par: Boutin, Rémi, et autres
Publié: (2023)

Perfect Clustering in Very Sparse Diverse Multiplex Networks
par: Pensky, Marianna
Publié: (2025)

A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images
par: Babu, Ganesh, et autres
Publié: (2024)

A Bayesian Framework for Latent Compliance Modeling in Cluster Randomized Trials with One-Sided Noncompliance
par: Sisti, Anthony, et autres
Publié: (2025)

Local Information for Global Network Estimation in Latent Space Models
par: Wang, Lijia, et autres
Publié: (2025)

Multi-relational Network Autoregression Model with Latent Group Structures
par: Ren, Yimeng, et autres
Publié: (2024)

A Bayesian Dynamic Latent Space Model for Weighted Networks
par: Casarin, Roberto, et autres
Publié: (2026)

Probabilistic Clustering using Shared Latent Variable Model for Assessing Alzheimers Disease Biomarkers
par: Xu, Yizhen, et autres
Publié: (2024)

Wavelet Latent Position Exponential Random Graphs
par: Papamichalis, Marios, et autres
Publié: (2025)

Hyperbolic Latent Space Models for Network Embedding: Model Specification and Bayesian Inference
par: Gong, Yiwei, et autres
Publié: (2026)

Latent Theme Dictionary Model for Finding Co-occurrent Patterns in Process Data
par: Fang, Guanhua, et autres
Publié: (2019)

Covariate Selection for Joint Latent Space Modeling of Sparse Network Data
par: Crenshaw, Emma G, et autres
Publié: (2026)

Without Pain -- Clustering Categorical Data Using a Bayesian Mixture of Finite Mixtures of Latent Class Analysis Models
par: Malsiner-Walli, Gertraud, et autres
Publié: (2024)

Generalized Network Psychometrics: Combining Network and Latent Variable Models
par: Epskamp, Sacha, et autres
Publié: (2016)

Changepoint Detection As Model Selection: A General Framework
par: Grantham, Michael, et autres
Publié: (2026)

The Bayesian Gaussian Process Latent Variable Model for Spatio-Temporal Stream Networks
par: Basson, Marno, et autres
Publié: (2026)

Fully Latent Principal Stratification With Measurement Models
par: Lee, Sooyong, et autres
Publié: (2023)

Network Model Averaging Prediction for Latent Space Models by K-Fold Edge Cross-Validation
par: Zhang, Yan, et autres
Publié: (2025)

Model Uncertainty in Latent Gaussian Models with Univariate Link Function
par: Steel, Mark F. J., et autres
Publié: (2024)

A Two-Stage Approach for Segmenting Spatial Point Patterns Applied to Multiplex Imaging
par: Sheng, Alvin, et autres
Publié: (2024)

Efficient Analysis of Latent Spaces in Heterogeneous Networks
par: Tian, Yuang, et autres
Publié: (2024)

Evaluating Informative Cluster Size in Cluster Randomized Trials
par: Blette, Bryan S., et autres
Publié: (2025)

Statistical Inference on Latent Space Models for Network Data
par: Li, Jinming, et autres
Publié: (2023)

Hyperbolic Network Latent Space Model with Learnable Curvature
par: Li, Jinming, et autres
Publié: (2023)