Cover Image

Operator-induced structural variable selection for identifying materials genes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ye, Shengbin, Senftle, Thomas P., Li, Meng
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

Posterior Summarization for Variable Selection in Bayesian Tree Ensembles
by: Ye, Shengbin, et al.
Published: (2025)

Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
by: Ye, Shengbin, et al.
Published: (2024)

A general framework for formulating structured variable selection
by: Wang, Guanbo, et al.
Published: (2021)

Multivariate Bayesian structured variable selection for pharmacogenomic studies
by: Zhao, Zhi, et al.
Published: (2021)

Bayesian variable and hazard structure selection in the General Hazard model
by: Chen, Yulong, et al.
Published: (2026)

Residual Importance Weighted Transfer Learning For High-dimensional Linear Regression
by: Zhao, Junlong, et al.
Published: (2023)

A latent variable model for identifying and characterizing food adulteration
by: Casa, Alessandro, et al.
Published: (2025)

Multivariate Bayesian variable selection with application to multi-trait genetic fine mapping
by: Canida, Travis, et al.
Published: (2022)

The impact of coarsening an exposure on partial identifiability in instrumental variable settings
by: Gabriel, Erin E., et al.
Published: (2024)

A nutritionally informed model for Bayesian variable selection with metabolite response variables
by: Clark-Boucher, Dylan, et al.
Published: (2025)

Semi-parametric local variable selection under misspecification
by: Rossell, David, et al.
Published: (2023)

A formal approach to variable selection in difference-in-differences
by: Rodrigues, Daniela, et al.
Published: (2026)

Flexible survival regression with variable selection for heterogeneous population
by: Mandal, Abhishek, et al.
Published: (2024)

Joint identification of spatially variable genes via a network-assisted Bayesian regularization approach
by: Wu, Mingcong, et al.
Published: (2024)

Bayesian variable selection in sample selection models using spike-and-slab priors
by: Iqbal, Adam J., et al.
Published: (2023)

Variance prior forms for high-dimensional Bayesian variable selection
by: Moran, Gemma E., et al.
Published: (2018)

Doubly robust and computationally efficient high-dimensional variable selection
by: Chakraborty, Abhinav, et al.
Published: (2024)

Model-free controlled variable selection via data splitting
by: Han, Yixin, et al.
Published: (2022)

Reweighting the RCT for generalization: finite sample error and variable selection
by: Colnet, Bénédicte, et al.
Published: (2022)

A neighbour selection approach for identifying differential networks in conditional functional graphical models
by: Mapelli, Alessia, et al.
Published: (2026)

Distribution-free screening of spatially variable genes in spatial transcriptomics
by: Wang, Changhu, et al.
Published: (2026)

Uncertainty quantification and multi-stage variable selection for personalized treatment regimes
by: Bi, Jiefeng, et al.
Published: (2024)

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

Addressing both variable selection and misclassified responses with parametric and semiparametric methods
by: Guo, Hui, et al.
Published: (2026)

Flexible variable selection in the presence of missing data
by: Williamson, B. D., et al.
Published: (2022)

Nonparametric functional data classification and bandwidth selection in the presence of MNAR class variables
by: Mojirsheibani, Majid
Published: (2025)

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors
by: Fan, Kun, et al.
Published: (2025)

Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identification
by: Hermansen, Tobias Østmo, et al.
Published: (2025)

A robust estimation and variable selection approach for sparse partially linear additive models
by: Martínez, Alejandra Mercedes
Published: (2025)

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

Laplace approximation for Bayesian variable selection via Le Cam's one-step procedure
by: Hou, Tianrui, et al.
Published: (2024)

Sparse-group boosting -- Unbiased group and variable selection
by: Obster, Fabian, et al.
Published: (2022)

Robust variable selection for partially linear additive models
by: Boente, Graciela, et al.
Published: (2024)

Fiducial inference for partially identified parameters with applications to instrumental variable models
by: Cui, Yifan, et al.
Published: (2025)

Efficient estimation and correction of selection-induced bias with order statistics
by: McLatchie, Yann, et al.
Published: (2023)

Prediction of causal genes at GWAS loci with pleiotropic gene regulatory effects using sets of correlated instrumental variables
by: Khan, Mariyam, et al.
Published: (2024)

An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables
by: Maleyeff, Lara, et al.
Published: (2024)

One-shot variable-ratio matching with fine balance
by: Meng, Qian, et al.
Published: (2025)

Functional structural equation modeling with latent variables
by: Asgari, Fatemeh, et al.
Published: (2024)

Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
by: Lacroix, Perrine, et al.
Published: (2021)