Cover Image

On the Choice of Model Space Priors and Multiplicity Control in Bayesian Variable Selection: An Application to Streaming Logistic Regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Ghosh, Joyee
Format:	Preprint
Published:	2025
Subjects:	Methodology Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Online Algorithm for Bayesian Variable Selection in Logistic Regression Models With Streaming Data
by: Ghosal, Payel, et al.
Published: (2025)

Bayesian Variable Selection in Multivariate Regression Under Collinearity in the Design Matrix
by: Ghosh, Joyee, et al.
Published: (2025)

Robust Bayesian Model Averaging for Linear Regression Models With Heavy-Tailed Errors
by: De, Shamriddha, et al.
Published: (2024)

Posterior Mode Guided Dimension Reduction for Bayesian Model Averaging in Heavy-Tailed Linear Regression
by: De, Shamriddha, et al.
Published: (2026)

Bayesian Multinomial Logistic Regression for Numerous Categories
by: Fisher, Jared D., et al.
Published: (2022)

Bayesian Latent Class Regression and Variable Selection with Applications to Sleep Patterns Data
by: Heaney, Matthew, et al.
Published: (2025)

Comparing Variable Selection and Model Averaging Methods for Logistic Regression
by: Sekulovski, Nikola, et al.
Published: (2025)

Bayesian Variable Selection for Function-on-Scalar Regression Models: a comparative analysis
by: Sousa, Pedro Henrique T. O., et al.
Published: (2023)

Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data
by: Joyee Ghosh, et al.
Published: (2025)

Variational Bayesian Logistic Tensor Regression with Application to Image Recognition
by: Jin, Yunzhi, et al.
Published: (2025)

A Heteroscedastic Bayesian Generalized Logistic Regression Model with Application to Scaling Problems
by: Sutton, Jack, et al.
Published: (2023)

Partial Ordering Bayesian Logistic Regression Model for Phase I Combination Trials and Computationally Efficient Approach to Operational Prior Specification
by: Chen, Weishi, et al.
Published: (2024)

Revisiting Bayesian Variable Selection via Optimization
by: Duan, Leo L
Published: (2026)

A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regression
by: Xie, Dongyue, et al.
Published: (2026)

Bayesian Multiple Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2026)

Bayesian Models for Joint Selection of Features and Auto-Regressive Lags: Theory and Applications in Environmental and Financial Forecasting
by: Manna, Alokesh, et al.
Published: (2025)

Objective Model Prior Probabilities in Variable Selection
by: Berger, James, et al.
Published: (2026)

Generalized Tree-Informed Mixed Model Regression
by: Allis, Jeremiah, et al.
Published: (2025)

Compressed Bayesian Tensor Regression
by: Casarin, Roberto, et al.
Published: (2025)

Bayesian Elastic Net Regression with Structured Prior Dependence
by: Hans, Christopher M., et al.
Published: (2025)

Bayesian Partial Reduced-Rank Regression
by: Pintado, Maria F., et al.
Published: (2024)

Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)

Data-Driven Logistic Regression Ensembles With Applications in Genomics
by: Christidis, Anthony-Alexander, et al.
Published: (2021)

Logistic Multidimensional Data Analysis for Ordinal Response Variables using a Cumulative Link function
by: de Rooij, Mark, et al.
Published: (2024)

Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)

Stabilizing Variable Selection and Regression
by: Pfister, Niklas, et al.
Published: (2019)

Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
by: Zhu, Zihan, et al.
Published: (2026)

A Compound Logistic Regression Model for Binary Responses
by: Almudevar, Anthony, et al.
Published: (2026)

Bayesian Variable Selection on Small Sample Trial Data via Adaptive Posterior-Informed Shrinkage Prior
by: Kong, Lingxuan, et al.
Published: (2025)

Bayesian Geographically Weighted Regression using Fused Lasso Prior
by: Sakai, Toshiki, et al.
Published: (2024)

Tutorial on Bayesian Functional Regression Using Stan
by: Jiang, Ziren, et al.
Published: (2025)

Constructing Bayesian Optimal Designs for Discrete Choice Experiments by Simulated Annealing
by: Mao, Yicheng, et al.
Published: (2024)

The Bayesian Gaussian Process Latent Variable Model for Spatio-Temporal Stream Networks
by: Basson, Marno, et al.
Published: (2026)

Nonlocal Prior Mixture-Based Bayesian Wavelet Regression with Application to Noisy Imaging and Audio Data
by: Sanyal, Nilotpal
Published: (2025)

Testing-driven Variable Selection in Bayesian Modal Regression
by: Duan, Jiasong, et al.
Published: (2025)

Reduced Rank Regression for Mixed Predictor and Response Variables
by: de Rooij, Mark, et al.
Published: (2024)

Accurate Inference for Penalized Logistic Regression
by: Zhang, Yuming, et al.
Published: (2024)

A Two-Stage Bayesian Approach for Variable Selection in Joint Modeling of Multiple Longitudinal Markers with Competing Risks
by: Baghfalaki, Taban, et al.
Published: (2024)

Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
by: Katz, Harrison, et al.
Published: (2025)

Variable Selection for Linear Regression Imputation in Surveys
by: An, Ziming, et al.
Published: (2026)