Stochastic Search Variable Selection for Bayesian Generalized Linear Mixed Effect Models
Fuente:
arXiv
Saved in:
| Main Authors: | Ding, Feng, Laga, Ian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Survey-Based Estimation of Probe Group Sizes in the Network Scale-up Method: A Case Study from Jordan
by: Laga, Ian
Published: (2025)
by: Laga, Ian
Published: (2025)
Variable Selection in Functional Linear Cox Model
by: Yue, Yuanzhen, et al.
Published: (2025)
by: Yue, Yuanzhen, et al.
Published: (2025)
Evaluating Aggregated Relational Data Models with Simple Diagnostics
by: Laga, Ian, et al.
Published: (2026)
by: Laga, Ian, et al.
Published: (2026)
Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models
by: Vu, Quan, et al.
Published: (2024)
by: Vu, Quan, et al.
Published: (2024)
Comparing the Robustness of Simple Network Scale-Up Method (NSUM) Estimators
by: Kunke, Jessica P., et al.
Published: (2023)
by: Kunke, Jessica P., et al.
Published: (2023)
Adaptive Bi-Level Variable Selection of Conditional Main Effects for Generalized Linear Models
by: Xie, Kexin, et al.
Published: (2026)
by: Xie, Kexin, et al.
Published: (2026)
Fiducial Confidence Intervals for Agreement Measures Among Raters Under a Generalized Linear Mixed Effects Model
by: Sahu, Soumya, et al.
Published: (2025)
by: Sahu, Soumya, et al.
Published: (2025)
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)
by: Dempsey, Daniel, et al.
Published: (2024)
Bayesian Non-Homogeneous Hidden Markov Model with Variable Selection for Investigating Drivers of Seizure Risk Cycling
by: Wang, Emily T., et al.
Published: (2022)
by: Wang, Emily T., et al.
Published: (2022)
Linear Model and Extensions
by: Ding, Peng
Published: (2024)
by: Ding, Peng
Published: (2024)
A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)
by: Florez, Mauro, et al.
Published: (2025)
Prediction Inference Using Generalized Functional Mixed Effects Models
by: Zhou, Xinkai, et al.
Published: (2025)
by: Zhou, Xinkai, et al.
Published: (2025)
Bayesian Variable Selection for High-Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies
by: Bae, Youngho, et al.
Published: (2024)
by: Bae, Youngho, et al.
Published: (2024)
Variational Inference for Fully Bayesian Hierarchical Linear Models
by: Parra-Aldana, Cristian, et al.
Published: (2025)
by: Parra-Aldana, Cristian, et al.
Published: (2025)
Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
by: Ng, Edwin, et al.
Published: (2021)
by: Ng, Edwin, et al.
Published: (2021)
BMRMM: An R Package for Bayesian Markov (Renewal) Mixed Models
by: Wu, Yutong, et al.
Published: (2024)
by: Wu, Yutong, et al.
Published: (2024)
Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
by: Cooper, Alysha, et al.
Published: (2025)
by: Cooper, Alysha, et al.
Published: (2025)
Bayesian Latent Class Regression and Variable Selection with Applications to Sleep Patterns Data
by: Heaney, Matthew, et al.
Published: (2025)
by: Heaney, Matthew, et al.
Published: (2025)
A Symmetric Random Scan Collapsed Gibbs Sampler for Fully Bayesian Variable Selection with Spike-and-Slab Priors
by: Chung, Mengta
Published: (2026)
by: Chung, Mengta
Published: (2026)
A Unified Bayesian Framework for Mortality Model Selection
by: Diana, Alex, et al.
Published: (2024)
by: Diana, Alex, et al.
Published: (2024)
Stabilizing Variable Selection and Regression
by: Pfister, Niklas, et al.
Published: (2019)
by: Pfister, Niklas, et al.
Published: (2019)
Bayesian Record Linkage with Variables in One File
by: Kamat, Gauri, et al.
Published: (2023)
by: Kamat, Gauri, et al.
Published: (2023)
Inference for Heterogeneous Graphical Models using Doubly High-Dimensional Linear-Mixed Models
by: Yue, Kun, et al.
Published: (2024)
by: Yue, Kun, et al.
Published: (2024)
Bayesian Mixed Multidimensional Scaling for Auditory Processing
by: Rebaudo, Giovanni, et al.
Published: (2022)
by: Rebaudo, Giovanni, et al.
Published: (2022)
Explainable Linear and Generalized Linear Models by the Predictions Plot
by: Rousseeuw, Peter J.
Published: (2024)
by: Rousseeuw, Peter J.
Published: (2024)
Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
by: Kim, Seongmin, et al.
Published: (2025)
by: Kim, Seongmin, et al.
Published: (2025)
Bayesian Hierarchical Modelling of Noisy Gamma Processes: Model Formulation, Identifiability, Model Fitting, and Extensions to Unit-to-Unit Variability
by: Leadbetter, Ryan, et al.
Published: (2024)
by: Leadbetter, Ryan, et al.
Published: (2024)
A Bayesian Integrative Mixed Modeling Framework for Analysis of the Adolescent Brain and Cognitive Development Study
by: Neher, Aidan, et al.
Published: (2025)
by: Neher, Aidan, et al.
Published: (2025)
Bayesian Modeling and Prediction of Generalized Contact Matrices
by: Dan, Shozen, et al.
Published: (2026)
by: Dan, Shozen, et al.
Published: (2026)
Assessing Climate-Driven Mortality Risk: A Stochastic Approach with Distributed Lag Non-Linear Models
by: Min, Jiacheng, et al.
Published: (2025)
by: Min, Jiacheng, et al.
Published: (2025)
Granger Causality for Mixed Time Series Generalized Linear Models: A Case Study on Multimodal Brain Connectivity
by: Piancastelli, Luiza S. C., et al.
Published: (2024)
by: Piancastelli, Luiza S. C., et al.
Published: (2024)
The Multiplex $p_2$ Model: Mixed-Effects Modeling for Multiplex Social Networks
by: Hong, Anni, et al.
Published: (2024)
by: Hong, Anni, et al.
Published: (2024)
Sequential Hierarchical Regression Imputation with Variable Selection Routines
by: Li, Qiushuang, et al.
Published: (2025)
by: Li, Qiushuang, et al.
Published: (2025)
Spatiotemporal Modeling and Forecasting at Scale with Dynamic Generalized Linear Models
by: Pherwani, Pranay, et al.
Published: (2024)
by: Pherwani, Pranay, 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)
by: Krause, Joshua, et al.
Published: (2025)
Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
by: Ragni, Alessandra, et al.
Published: (2023)
by: Ragni, Alessandra, et al.
Published: (2023)
Local Variable and Neighborhood Selection for Firearm Fatality in the Southeast USA
by: Thakur, Debjoy, et al.
Published: (2026)
by: Thakur, Debjoy, et al.
Published: (2026)
Gradient-Boosted Generalized Linear Models for Conditional Vine Copulas
by: Jobst, David, et al.
Published: (2024)
by: Jobst, David, et al.
Published: (2024)
Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework
by: Mignemi, Giuseppe, et al.
Published: (2024)
by: Mignemi, Giuseppe, et al.
Published: (2024)
Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
by: Shen, Yixin, et al.
Published: (2025)
by: Shen, Yixin, et al.
Published: (2025)
Similar Items
-
Survey-Based Estimation of Probe Group Sizes in the Network Scale-up Method: A Case Study from Jordan
by: Laga, Ian
Published: (2025) -
Variable Selection in Functional Linear Cox Model
by: Yue, Yuanzhen, et al.
Published: (2025) -
Evaluating Aggregated Relational Data Models with Simple Diagnostics
by: Laga, Ian, et al.
Published: (2026) -
Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models
by: Vu, Quan, et al.
Published: (2024) -
Comparing the Robustness of Simple Network Scale-Up Method (NSUM) Estimators
by: Kunke, Jessica P., et al.
Published: (2023)