A mixture of experts latent position cluster model for social network data
From MaRDI portal
Publication:143127
DOI10.1016/J.STAMET.2010.01.002zbMath1233.62205OpenAlexW2012354925WikidataQ63214079 ScholiaQ63214079MaRDI QIDQ143127
Thomas Brendan Murphy, Isobel Claire Gormley, Isobel Claire Gormley, Thomas Brendan Murphy
Publication date: May 2010
Published in: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10197/7116
Social networks; opinion dynamics (91D30) Applications of statistics to social sciences (62P25) Numerical analysis or methods applied to Markov chains (65C40)
Related Items (11)
Co-Clustering of Ordinal Data via Latent Continuous Random Variables and Not Missing at Random Entries ⋮ Semiparametric finite mixture of regression models with Bayesian P-splines ⋮ Mixture models and networks: The stochastic blockmodel ⋮ Gaussian mixture modeling and model-based clustering under measurement inconsistency ⋮ The stochastic topic block model for the clustering of vertices in networks with textual edges ⋮ Joint Latent Space Model for Social Networks with Multivariate Attributes ⋮ MEclustnet ⋮ Review of statistical network analysis: models, algorithms, and software ⋮ Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership ⋮ Bayesian consensus clustering in multiplex networks ⋮ Extended stochastic block models with application to criminal networks
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A mixture of experts model for rank data with applications in election studies
- Estimating the dimension of a model
- MM algorithms for generalized Bradley-Terry models.
- Variational Bayesian inference for the latent position cluster model for network data
- Graphical Models, Exponential Families, and Variational Inference
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Model-Based Gaussian and Non-Gaussian Clustering
- Bayesian Inference in Mixtures-of-Experts and Hierarchical Mixtures-of-Experts Models With an Application to Speech Recognition
- Model-Based Clustering, Discriminant Analysis, and Density Estimation
- Latent Space Approaches to Social Network Analysis
- Dealing With Label Switching in Mixture Models
- Computational and Inferential Difficulties with Mixture Posterior Distributions
- Bayes Factors
- Equation of State Calculations by Fast Computing Machines
- A grade of membership model for rank data
This page was built for publication: A mixture of experts latent position cluster model for social network data