Imagen de Portada

Variable selection via knockoffs in missing data settings with categorical predictors

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bacci, Silvia, Dreassi, Emanuela, Grilli, Leonardo, Rampichini, Carla
Formato:	Preprint
Publicado:	2025
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Variable selection via knockoffs for clustered data
por: Bacci, Silvia, et al.
Publicado: (2026)

Knockoffs for exchangeable categorical covariates
por: Dreassi, Emanuela, et al.
Publicado: (2024)

Functional knockoffs selection with applications to functional data analysis in high dimensions
por: Qiao, Xinghao, et al.
Publicado: (2024)

Bayesian nonparametric inference on a Fréchet class
por: Dreassi, Emanuela, et al.
Publicado: (2025)

Mapping beyond diseases: Controlled variable selection for secondary phenotypes using tilted knockoffs
por: Zhao, Qian, et al.
Publicado: (2025)

Hybrid methods for missing categorical covariates in Cox model
por: Dioni, Abdoulaye, et al.
Publicado: (2025)

Simultaneous false discovery proportion bounds via knockoffs and closed testing
por: Li, Jinzhou, et al.
Publicado: (2022)

Can linear algebra create perfect knockoffs?
por: Hemmens, Christopher, et al.
Publicado: (2025)

Chapter Random effects regression trees for the analysis of INVALSI data
por: VANNUCCI, GIULIA, et al.
Publicado: (2022)

Proposal of a general framework to categorize continuous predictor variables
por: Barrio, Irantzu, et al.
Publicado: (2024)

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

Second-order group knockoffs with applications to GWAS
por: Chu, Benjamin B, et al.
Publicado: (2023)

Network knockoffs: controlling false discovery in dyadic space
por: Van Ee, Justin, et al.
Publicado: (2026)

Choosing the nominal level post-hoc with knockoffs using e-values
por: Fischer, Lasse, et al.
Publicado: (2025)

Catch me if you can: Signal localization with knockoff e-values
por: Gablenz, Paula, et al.
Publicado: (2023)

flexBART: Flexible Bayesian regression trees with categorical predictors
por: Deshpande, Sameer K.
Publicado: (2022)

One-at-a-time knockoffs: controlled false discovery rate with higher power
por: Guan, Charlie K., et al.
Publicado: (2025)

missForestPredict -- Missing data imputation for prediction settings
por: Albu, Elena, et al.
Publicado: (2024)

A categorization of performance measures for estimated non-linear associations between an outcome and continuous predictors
por: Ullmann, Theresa, et al.
Publicado: (2025)

Improving knockoffs with conditional calibration
por: Luo, Yixiang, et al.
Publicado: (2022)

Graphical model-based clustering of categorical data
por: Ferrini, Laura, et al.
Publicado: (2026)

Logistic regression with missing responses and predictors: a review of existing approaches and a case study
por: Martins, Susana Rafaela, et al.
Publicado: (2023)

Variable selection in balance regression with applications to microbiome compositional data
por: Ma, Jing, et al.
Publicado: (2023)

A spatial scan statistical for categorical, functional data
por: Frévent, Camille, et al.
Publicado: (2026)

Boosting prediction with data missing not at random
por: Bian, Yuan, et al.
Publicado: (2025)

Bayesian estimation of causal effects from observational categorical data
por: Kvisgaard, Vera, et al.
Publicado: (2025)

Model-based clustering of categorical data based on the Hamming distance
por: Argiento, Raffaele, et al.
Publicado: (2022)

Grade of membership analysis for multi-layer ordinal categorical data
por: Qing, Huan
Publicado: (2024)

Improving the adjusted Benjamini--Hochberg method using e-values in knockoff-assisted variable selection
por: Biswas, Aniket, et al.
Publicado: (2026)

Assessing treatment effects in observational data with missing confounders: A comparative study of practical doubly-robust and traditional missing data methods
por: Williamson, Brian D., et al.
Publicado: (2024)

A reduced rank model for spatial categorical data with many classes
por: May, Paul B, et al.
Publicado: (2026)

Accounting for missing data when modelling block maxima
por: Simpson, Emma S., et al.
Publicado: (2025)

Controlling the false discovery rate in high-dimensional linear models using model-X knockoffs and $p$-values
por: Chang, Jinyuan, et al.
Publicado: (2025)

Variable selection in frailty mixture cure models via penalized likelihood estimation
por: Tawiah, Richard, et al.
Publicado: (2025)

Bayesian models for missing and misclassified variables using integrated nested Laplace approximations
por: Skarstein, Emma, et al.
Publicado: (2024)

Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
por: Miah, Kaya, et al.
Publicado: (2024)

Comment on: "Model uncertainty and missing data: An Objective Bayesian Perspective"
por: Franssen, Stefan
Publicado: (2025)

Statistics of spatial averages and optimal averaging in the presence of missing data
por: Seshadri, Ashwin K
Publicado: (2017)

Causal Quantile Treatment Effects with missing data by double-sampling
por: Sun, Shuo, et al.
Publicado: (2023)

Variable selection and basis learning for ordinal classification
por: Kim, Minwoo, et al.
Publicado: (2022)