Cover Image

The R2D2 Prior for Generalized Linear Mixed Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yanchenko, Eric, Bondell, Howard D., Reich, Brian J.
Format:	Preprint
Published:	2021
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Group R2D2 Shrinkage Prior for Sparse Linear Models with Grouped Covariates
by: Yanchenko, Eric, et al.
Published: (2024)

Pseudo-R2D2 prior for high-dimensional ordinal regression
by: Yanchenko, Eric
Published: (2025)

Mediation analysis of community context effects on heart failure using the survival R2D2 prior
by: Feng, Brandon R., et al.
Published: (2024)

Spatiotemporal Modeling and Forecasting at Scale with Dynamic Generalized Linear Models
by: Pherwani, Pranay, et al.
Published: (2024)

Expectation-propagation for Bayesian empirical likelihood inference
by: Ng, Kenyon, et al.
Published: (2025)

A generalized hypothesis test for community structure in networks
by: Yanchenko, Eric, et al.
Published: (2021)

Statistical inference for core-periphery structures
by: Yanchenko, Eric, et al.
Published: (2025)

Power-divergence copulas: A new class of Archimedean copulas, with an insurance application
by: Pearse, Alan R., et al.
Published: (2025)

Intuitive Joint Priors for Bayesian Linear Multilevel Models: The R2D2M2 prior
by: Aguilar, Javier Enrique, et al.
Published: (2022)

Hypothesis testing for community structure in temporal networks using e-values
by: Yanchenko, Eric, et al.
Published: (2025)

Generalized Decomposition Priors on R2
by: Aguilar, Javier Enrique, et al.
Published: (2024)

A Deep Learning Synthetic Likelihood Approximation of a Non-stationary Spatial Model for Extreme Streamflow Forecasting
by: Majumder, Reetam, et al.
Published: (2022)

Exact Posterior Mean and Covariance for Generalized Linear Mixed Models
by: Zhang, Tonglin
Published: (2024)

A nonstationary spatial model of PM2.5 with localized transfer learning from numerical model output
by: Gong, Wenlong, 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)

Approximate Likelihood-Based Inference for Spatial Generalized Linear Mixed Models
by: Watson, Samuel I., et al.
Published: (2026)

Bayesian Group Regularization in Generalized Linear Models with a Continuous Spike-and-Slab Prior
by: Bai, Ray
Published: (2020)

Modeling Extremal Streamflow using Deep Learning Approximations and a Flexible Spatial Process
by: Majumder, Reetam, et al.
Published: (2022)

Functional Principal Component Analysis for Sparse Censored Data
by: Murphy, Caitrin, et al.
Published: (2024)

Spatial Causal Tensor Completion for Multiple Exposures and Outcomes: An Application to the Health Effects of PFAS Pollution
by: Zhou, Xiaodan, et al.
Published: (2026)

Generalized Power Priors for Improved Bayesian Inference with Historical Data
by: Kimura, Masanari, et al.
Published: (2025)

Prior Elicitation for Generalised Linear Models and Extensions
by: Hosack, Geoffrey R.
Published: (2023)

Adaptive Multi-Prior Lasso for High-Dimensional Generalized Linear Models
by: Xu, Fuzhi, et al.
Published: (2026)

R-VGAL: A Sequential Variational Bayes Algorithm for Generalised Linear Mixed Models
by: Vu, Bao Anh, et al.
Published: (2023)

glmmPen: High Dimensional Penalized Generalized Linear Mixed Models
by: Heiling, Hillary M., et al.
Published: (2023)

Methods of Selective Inference for Linear Mixed Models: a Review and Empirical Comparison
by: D'Alessandro, Matteo, et al.
Published: (2025)

Robust Inference for Generalized Linear Mixed Models: An Approach Based on Score Sign Flipping
by: Andreella, Angela, et al.
Published: (2024)

Generalised Linear Mixed Model Specification, Analysis, Fitting, and Optimal Design in R with the glmmr Packages
by: Watson, Samuel I.
Published: (2023)

Two-stage Estimators for Spatial Confounding with Point-Referenced Data
by: Wiecha, Nate, et al.
Published: (2024)

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)

A Random-Effects Approach to Generalized Linear Mixed Model Analysis of Incomplete Longitudinal Data
by: Nguyen, Thuan, et al.
Published: (2024)

Cross-Validation in Penalized Linear Mixed Models: Addressing Common Implementation Pitfalls
by: Peter, Tabitha K., et al.
Published: (2025)

Scalable Subset Selection in Linear Mixed Models
by: Thompson, Ryan, et al.
Published: (2025)

Causal Spatial Quantile Regression
by: Gong, Yan, et al.
Published: (2025)

A Bayesian shrinkage estimator for transfer learning
by: Abba, Mohamed A., et al.
Published: (2024)

A Scalable Variational Bayes Approach to Fit High-dimensional Spatial Generalized Linear Mixed Models
by: Lee, Jin Hyung, et al.
Published: (2024)

Explainable Linear and Generalized Linear Models by the Predictions Plot
by: Rousseeuw, Peter J.
Published: (2024)

Re-thinking Spatial Confounding in Spatial Linear Mixed Models
by: Khan, Kori, et al.
Published: (2023)

Robust Linear Mixed Models using Hierarchical Gamma-Divergence
by: Sugasawa, Shonosuke, et al.
Published: (2024)