Image de couverture de livre

Variance prior forms for high-dimensional Bayesian variable selection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Moran, Gemma E., Rockova, Veronika, George, Edward I.
Format:	Preprint
Publié:	2018
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Generative Bayesian Inference with GANs
par: Wang, Yuexi, et autres
Publié: (2022)

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors
par: Fan, Kun, et autres
Publié: (2025)

AI-Powered Bayesian Inference
par: O'Hagan, Sean, et autres
Publié: (2025)

Sparse Bayesian Multidimensional Item Response Theory
par: Li, Jiguang, et autres
Publié: (2023)

Generative Bayesian Filtering and Parameter Learning
par: Marcelli, Edoardo, et autres
Publié: (2025)

Horseshoe Predictive Inference
par: Zhai, Percy S., et autres
Publié: (2026)

Deep Bayes Factors
par: Kim, Jungeum, et autres
Publié: (2023)

Deep Computerized Adaptive Testing
par: Li, Jiguang, et autres
Publié: (2025)

Generative Regression with IQ-BART
par: O'Hagan, Sean, et autres
Publié: (2025)

Bayesian variable selection in sample selection models using spike-and-slab priors
par: Iqbal, Adam J., et autres
Publié: (2023)

Empirical Likelihood with Generative AI
par: Li, Jiguang, et autres
Publié: (2026)

Deep Generative Quantile Bayes
par: Kim, Jungeum, et autres
Publié: (2024)

A Beta Cauchy-Cauchy (BECCA) shrinkage prior for Bayesian variable selection
par: Rodrigo, Linduni M., et autres
Publié: (2025)

Bayesian computation for high-dimensional Gaussian Graphical Models with spike-and-slab priors
par: Sulem, Deborah, et autres
Publié: (2025)

Tree Bandits for Generative Bayes
par: O'Hagan, Sean, et autres
Publié: (2024)

On integral priors for multiple comparison in Bayesian model selection
par: Salmerón, Diego, et autres
Publié: (2024)

Adaptive Bayesian Predictive Inference in High-dimensional Regerssion
par: Rockova, Veronika
Publié: (2023)

Opaque prior distributions in Bayesian latent variable models
par: Merkle, Edgar C., et autres
Publié: (2023)

Doubly robust and computationally efficient high-dimensional variable selection
par: Chakraborty, Abhinav, et autres
Publié: (2024)

Bayesian variable selection in a Cox proportional hazards model with the "Sum of Single Effects" prior
par: Yang, Yunqi, et autres
Publié: (2025)

Adaptive Uncertainty Quantification for Generative AI
par: Kim, Jungeum, et autres
Publié: (2024)

R2 priors for Grouped Variance Decomposition in High-dimensional Regression
par: Aguilar, Javier Enrique, et autres
Publié: (2025)

Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identification
par: Hermansen, Tobias Østmo, et autres
Publié: (2025)

Proximal nested sampling for high-dimensional Bayesian model selection
par: Cai, Xiaohao, et autres
Publié: (2021)

Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
par: Lacroix, Perrine, et autres
Publié: (2021)

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

Multivariate Bayesian structured variable selection for pharmacogenomic studies
par: Zhao, Zhi, et autres
Publié: (2021)

Expressing and visualizing model uncertainty in Bayesian variable selection using Cartesian credible sets
par: Griffin, J. E.
Publié: (2024)

Variational empirical Bayes variable selection in high-dimensional logistic regression
par: Tang, Yiqi, et autres
Publié: (2025)

A nutritionally informed model for Bayesian variable selection with metabolite response variables
par: Clark-Boucher, Dylan, et autres
Publié: (2025)

Bayesian variable and hazard structure selection in the General Hazard model
par: Chen, Yulong, et autres
Publié: (2026)

High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
par: Mai, The Tien
Publié: (2025)

An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables
par: Maleyeff, Lara, et autres
Publié: (2024)

Penalizing complexity priors for Bayesian inference of circular models
par: Ye, Xiang, et autres
Publié: (2025)

Towards Interpretable Deep Generative Models via Causal Representation Learning
par: Moran, Gemma E., et autres
Publié: (2025)

The Bayesian Infinitesimal Jackknife for Variance
par: Giordano, Ryan, et autres
Publié: (2023)

High-dimensional iterative variable selection for accelerated failure time models
par: Sanyal, Nilotpal
Publié: (2023)

Multivariate Bayesian variable selection with application to multi-trait genetic fine mapping
par: Canida, Travis, et autres
Publié: (2022)

Bayesian non-linear subspace shrinkage using horseshoe priors
par: Duda, Julia Christin, et autres
Publié: (2024)

A class of priors to perform asymmetric Bayesian wavelet shrinkage
par: Sousa, Alex Rodrigo dos Santos
Publié: (2024)