The Multiplex $p_2$ Model: Mixed-Effects Modeling for Multiplex Social Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hong, Anni, Niezink, Nynke M. D.
Format:	Preprint
Published:	2024
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Prediction Inference Using Generalized Functional Mixed Effects Models
by: Zhou, Xinkai, et al.
Published: (2025)

Integrative Learning of Dynamically Evolving Multiplex Graphs and Nodal Attributes Using Neural Network Gaussian Processes with an Application to Dynamic Terrorism Graphs
by: Rodriguez-Acosta, Jose, et al.
Published: (2026)

Stochastic Search Variable Selection for Bayesian Generalized Linear Mixed Effect Models
by: Ding, Feng, et al.
Published: (2024)

Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models
by: Vu, Quan, et al.
Published: (2024)

An Efficient Two-Dimensional Functional Mixed-Effect Model Framework for Repeatedly Measured Functional Data
by: Cao, Cheng, et al.
Published: (2024)

Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
by: Ng, Edwin, et al.
Published: (2021)

Fiducial Confidence Intervals for Agreement Measures Among Raters Under a Generalized Linear Mixed Effects Model
by: Sahu, Soumya, et al.
Published: (2025)

Modeling EEG Spectral Features through Warped Functional Mixed Membership Models
by: Landry, Emma, et al.
Published: (2024)

A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)

Inference for Heterogeneous Graphical Models using Doubly High-Dimensional Linear-Mixed Models
by: Yue, Kun, et al.
Published: (2024)

BMRMM: An R Package for Bayesian Markov (Renewal) Mixed Models
by: Wu, Yutong, et al.
Published: (2024)

The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models
by: Krause, Joshua, et al.
Published: (2025)

cosimmr: an R package for fast fitting of Stable Isotope Mixing Models with covariates
by: Govan, Emma, et al.
Published: (2024)

Conjugating Variational Inference for Large Mixed Multinomial Logit Models and Consumer Choice
by: Zhang, Weiben, et al.
Published: (2026)

A Goodness-of-Fit Test for Mixed-Effects Logistic Regression
by: Linden, Ariel
Published: (2026)

Sparse Seemingly Unrelated Regression (SSUR) Copula Mixed Models for Multivariate Loss Reserving
by: Cai, Pengfei, et al.
Published: (2025)

Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
by: Kim, Seongmin, et al.
Published: (2025)

A Bayesian Integrative Mixed Modeling Framework for Analysis of the Adolescent Brain and Cognitive Development Study
by: Neher, Aidan, et al.
Published: (2025)

Influence Networks: Bayesian Modeling and Diffusion
by: Sánchez-Gutiérrez, Samuel, et al.
Published: (2024)

A Mixed Model Approach for Estimating Regional Functional Connectivity from Voxel-level BOLD Signals
by: Liu, Ruobin, et al.
Published: (2022)

Mixed Time Series Quasi-Likelihood Models for Uncovering Covid-19 Viral Load and Mortality Dynamics
by: Wu, Kejin, et al.
Published: (2026)

Modeling Tripartite Hyperevents in Scientific Collaboration Networks
by: Barbagli, Amin Gino Fabbrucci, et al.
Published: (2026)

Causal Networks of Infodemiological Data: Modelling Dermatitis
by: Scutari, Marco, et al.
Published: (2025)

A Dynamic Latent Space Model for Healthcare Mobility Networks: the Italian National Health Service case
by: Manente, Cecilia, et al.
Published: (2026)

Random Effect Restricted Mean Survival Time Model
by: Hanada, Keisuke, et al.
Published: (2024)

A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data
by: Guo, Xingche, et al.
Published: (2023)

State-Space Representation of INGARCH Models and Their Application in Insurance
by: Ahn, Jae Youn, et al.
Published: (2025)

Analysing Opportunity Cost of Care Work using Mixed Effects Random Forests under Aggregated Auxiliary Data
by: Krennmair, Patrick, et al.
Published: (2022)

Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
by: Xu, Tianchen, et al.
Published: (2023)

Bayesian Spatial Point Process Modeling for Cluster Randomized Trials
by: Lee, Jooyeon, et al.
Published: (2025)

Network Modeling of Asynchronous Change-Points in Multivariate Time Series
by: McKee, Carson, et al.
Published: (2025)

Bridging the Gap: Introducing Joint Models for Longitudinal and Time-to-event Data in the Social Sciences
by: Potts, Sophie, et al.
Published: (2025)

Estimating Conditional Average Treatment Effects with Heteroscedasticity by Model Averaging and Matching
by: Shi, Pengfei, et al.
Published: (2023)

Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
by: Lin, Zhengzhi, et al.
Published: (2025)

Two-Stage Trigonometric Regression for Modeling Circadian Rhythms
by: Gorczyca, Michael T., et al.
Published: (2025)

Intellectual Up-streams of Percentage Scale ($ps$) and Percentage Coefficient ($b_p$) -- Effect Size Analysis (Theory Paper 2)
by: Zhao, Xinshu, et al.
Published: (2025)

Model-Twin Randomization (MoTR) for Estimating the Recurring Individual Treatment Effect
by: Daza, Eric J., et al.
Published: (2022)

On the Proportional Principal Stratum Hazards Model
by: Sun, Jiren, et al.
Published: (2025)

General Effect Modelling (GEM) -- Part 2. Multivariate GEM applied to gene expression data of type 2 diabetes detects information that is lost by univariate validation
by: Mosleth, Ellen Færgestad, et al.
Published: (2024)

Hurdle Network Model With Latent Dynamic Shrinkage For Enhanced Edge Prediction in Zero-Inflated Directed Network Time Series
by: Pramanik, Sandipan, et al.
Published: (2025)