Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors
Fuente:
Wiley Open Access
Saved in:
| Main Authors: | Zhuanzhuan Ma, Zifei Han, Souparno Ghosh, Liucang Wu, Min Wang |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Testing for the Important Components of Predictive Variance
by: Dean Dustin, et al.
Published: (2025)
by: Dean Dustin, et al.
Published: (2025)
Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning
by: Arkaprabha Ganguli, et al.
Published: (2024)
by: Arkaprabha Ganguli, et al.
Published: (2024)
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data
by: Hao Xue, et al.
Published: (2024)
by: Hao Xue, et al.
Published: (2024)
Neural interval‐censored survival regression with feature selection
by: Carlos García Meixide, et al.
Published: (2024)
by: Carlos García Meixide, et al.
Published: (2024)
Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis
by: Jiali Lin, et al.
Published: (2024)
by: Jiali Lin, et al.
Published: (2024)
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression
by: Weikang Duan, et al.
Published: (2025)
by: Weikang Duan, et al.
Published: (2025)
Nonparametric mean and variance adaptive classification rule for high‐dimensional data with heteroscedastic variances
by: Seungyeon Oh, et al.
Published: (2024)
by: Seungyeon Oh, et al.
Published: (2024)
An Efficient Filtering Approach for Model Estimation in Sparse Regression
by: Yanran Wei, et al.
Published: (2024)
by: Yanran Wei, et al.
Published: (2024)
Bayesian inference for nonprobability samples with nonignorable missingness
by: Zhan Liu, et al.
Published: (2024)
by: Zhan Liu, et al.
Published: (2024)
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies
by: Jami J. Mulgrave, et al.
Published: (2024)
by: Jami J. Mulgrave, et al.
Published: (2024)
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer
by: Wenyu Gao, et al.
Published: (2024)
by: Wenyu Gao, et al.
Published: (2024)
Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees
by: Charles Truong, et al.
Published: (2024)
by: Charles Truong, et al.
Published: (2024)
An Adaptable Bayesian Quantile‐Based Regression Framework for Asymmetric Data Structures and Extreme Points
by: Maryam Sabetrasekh, et al.
Published: (2026)
by: Maryam Sabetrasekh, et al.
Published: (2026)
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design
by: Nomita N. Vazirani, et al.
Published: (2024)
by: Nomita N. Vazirani, et al.
Published: (2024)
Robust multitask learning in high dimensions under memory constraint
by: Canyi Chen, et al.
Published: (2024)
by: Canyi Chen, et al.
Published: (2024)
Bayesian Dirichlet Process Copula Mixtures for Heterogeneous Multi‐Cluster Data: Methods and an NBA Player Stats Application
by: Yujian Liu, et al.
Published: (2026)
by: Yujian Liu, et al.
Published: (2026)
BayesMultiomics : An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data
by: Mansoo Cho, et al.
Published: (2025)
by: Mansoo Cho, et al.
Published: (2025)
Score Tests for Overdispersion in Marginalized Zero‐Inflated Poisson Regression Based on Marginalized Zero‐Inflated Generalized Poisson Model
by: Yuhe Wang, et al.
Published: (2025)
by: Yuhe Wang, et al.
Published: (2025)
Interaction Tests With Covariate‐Adaptive Randomization
by: Likun Zhang, et al.
Published: (2025)
by: Likun Zhang, et al.
Published: (2025)
Transfer learning under the Cox model with interval‐censored data
by: Mengqi Xie, et al.
Published: (2024)
by: Mengqi Xie, et al.
Published: (2024)
Imputed quantile vector autoregressive model for multivariate spatial–temporal data
by: Liang Jinwen, et al.
Published: (2024)
by: Liang Jinwen, et al.
Published: (2024)
The finite mixture model for the tails of distribution: Monte Carlo experiment and empirical applications
by: Marilena Furno, et al.
Published: (2024)
by: Marilena Furno, et al.
Published: (2024)
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size
by: Sean Xinyang Feng, et al.
Published: (2024)
by: Sean Xinyang Feng, et al.
Published: (2024)
Modeling matrix variate time series via hidden Markov models with skewed emissions
by: Michael P. B. Gallaugher, et al.
Published: (2024)
by: Michael P. B. Gallaugher, et al.
Published: (2024)
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease
by: Hina Shaheen, et al.
Published: (2024)
by: Hina Shaheen, et al.
Published: (2024)
Cost‐sensitive classification with time constraint on incomplete data
by: Yong‐Shiuan Lee, et al.
Published: (2024)
by: Yong‐Shiuan Lee, et al.
Published: (2024)
Individualized image region detection with total variation
by: Sanyou Wu, et al.
Published: (2024)
by: Sanyou Wu, et al.
Published: (2024)
Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization
by: Ting Xu, et al.
Published: (2025)
by: Ting Xu, et al.
Published: (2025)
Wavelet‐Based Single‐Index Additive Models With Irregular Link and Additive Functions
by: Anestis Antoniadis, et al.
Published: (2026)
by: Anestis Antoniadis, et al.
Published: (2026)
Online Updating Composite Quantile Regression for Streaming Data
by: Yujie Gai, et al.
Published: (2025)
by: Yujie Gai, et al.
Published: (2025)
Adaptive Weighted Regularized QRGRU Algorithm and Its Application in Stock Price Prediction
by: Ting Xu, et al.
Published: (2025)
by: Ting Xu, et al.
Published: (2025)
A Novel Approach for APT Detection Based on Ensemble Learning Model
by: Nguyen Hoa Cuong, et al.
Published: (2025)
by: Nguyen Hoa Cuong, et al.
Published: (2025)
Low‐Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization
by: Yongku Kim, et al.
Published: (2025)
by: Yongku Kim, et al.
Published: (2025)
Model Averaging for Regression Kink Models
by: Li Xi, et al.
Published: (2025)
by: Li Xi, et al.
Published: (2025)
Transfer Learning for Linearized Maximum Rank Correlation Estimation
by: Yingli Pan, et al.
Published: (2026)
by: Yingli Pan, et al.
Published: (2026)
eRPCA: Robust Principal Component Analysis for Exponential Family Distributions
by: Xiaojun Zheng, et al.
Published: (2024)
by: Xiaojun Zheng, et al.
Published: (2024)
Similar Items
-
Testing for the Important Components of Predictive Variance
by: Dean Dustin, et al.
Published: (2025) -
Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning
by: Arkaprabha Ganguli, et al.
Published: (2024) -
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data
by: Hao Xue, et al.
Published: (2024) -
Neural interval‐censored survival regression with feature selection
by: Carlos García Meixide, et al.
Published: (2024) -
Gaussian process selections in semiparametric multi‐kernel machine regression for multi‐pathway analysis
by: Jiali Lin, et al.
Published: (2024)