Additive and multiplicative effects network models
From MaRDI portal
Publication:2038284
DOI10.1214/19-STS757MaRDI QIDQ2038284
Publication date: 6 July 2021
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1807.08038
Related Items (8)
Discussion to: \textit{Bayesian graphical models for modern biological applications} by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo ⋮ Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model ⋮ A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015 ⋮ A dynamic additive and multiplicative effects network model with application to the United Nations voting behaviors ⋮ Network vector autoregression with individual effects ⋮ Joint Latent Space Model for Social Networks with Multivariate Attributes ⋮ Community detection with dependent connectivity ⋮ Mapping unobserved item-respondent interactions: a latent space item response model with interaction map
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Pseudo-likelihood methods for community detection in large sparse networks
- Statistical analyses for round robin interaction data
- Hierarchical multilinear models for multiway data
- Equivariant and scale-free Tucker decomposition models
- Spectral clustering and the high-dimensional stochastic blockmodel
- The method of moments and degree distributions for network models
- Logit models and logistic regressions for social networks. I: An introduction to Markov graphs and \(p^*\)
- Round-robin analysis of social interaction: exact and estimated standard errors
- Consistency of community detection in networks under degree-corrected stochastic block models
- Consistency of maximum-likelihood and variational estimators in the stochastic block model
- Exponential-family models of random graphs: inference in finite, super and infinite population scenarios
- Variational Bayesian inference for the latent position cluster model for network data
- Common and individual structure of brain networks
- A statistical model which combines features of factor analytic and analysis of variance techniques
- Round Robin Analysis of Variance Via Maximum Likelihood
- Mixed membership stochastic blockmodels
- A First Course in Bayesian Statistical Methods
- Goodness of Fit of Social Network Models
- An Exponential Family of Probability Distributions for Directed Graphs
- Simultaneous Statistical Inference on Interactions in Two-Way Analysis of Variance
- Generalised bilinear regression
- Estimation and Prediction for Stochastic Blockstructures
- Latent Space Approaches to Social Network Analysis
- Mixed-Effects Models in S and S-PLUS
- p2: a random effects model with covariates for directed graphs
- Bayesian Analysis of Binary and Polychotomous Response Data
- Local Dependence in Random Graph Models: Characterization, Properties and Statistical Inference
- Fast Moment-Based Estimation for Hierarchical Models
- Random Dot Product Graph Models for Social Networks
- Bilinear Mixed-Effects Models for Dyadic Data
This page was built for publication: Additive and multiplicative effects network models