Copertina

Comparison study of variable selection procedures in high-dimensional Gaussian linear regression

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lacroix, Perrine, Gallopin, Mélina, Martin, Marie-Laure
Natura:	Preprint
Pubblicazione:	2021
Soggetti:	Applications Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection
di: Lacroix, Perrine, et al.
Pubblicazione: (2023)

Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
di: Strömer, Annika, et al.
Pubblicazione: (2024)

Empirical best prediction of poverty indicators via nested error regression with high dimensional parameters
di: Chen, Yuting, et al.
Pubblicazione: (2025)

Subdata selection for big data regression: an improved approach
di: Chasiotis, Vasilis, et al.
Pubblicazione: (2023)

The effect of collinearity and sample size on linear regression results: a simulation study
di: van der Lubbe, Stephanie CC, et al.
Pubblicazione: (2026)

Bayesian compositional regression with flexible microbiome feature aggregation and selection
di: Saha, Satabdi, et al.
Pubblicazione: (2024)

Doubly regularized generalized linear models for spatial observations with high-dimensional covariates
di: Sondhi, Arjun, et al.
Pubblicazione: (2024)

Robust inference for linear regression models with possibly skewed error distribution
di: Nandy, Amarnath, et al.
Pubblicazione: (2024)

Valid F-screening in linear regression
di: McGough, Olivia, et al.
Pubblicazione: (2025)

Improved order selection method for hidden Markov models: a case study with movement data
di: Dupont, Fanny, et al.
Pubblicazione: (2024)

Comparison of Bayesian methods for extrapolation of treatment effects: a large scale simulation study
di: Fauvel, Tristan, et al.
Pubblicazione: (2025)

Variable selection in the joint frailty model of recurrent and terminal events using Broken Adaptive Ridge regression
di: Chan, Christian, et al.
Pubblicazione: (2024)

A brief introduction on latent variable based ordinal regression models with an application to survey data
di: Wieditz, Johannes, et al.
Pubblicazione: (2023)

Heterogeneity-aware integrative regression for ancestry-specific association studies
di: Molstad, Aaron J., et al.
Pubblicazione: (2023)

Functional and variables selection in extreme value models for regional flood frequency analysis
di: Gardini, Aldo
Pubblicazione: (2023)

PliableBVS: A flexible Bayesian variable selection method for modeling interactions with mandatory modifying variables
di: Asenso, Theophilus Quachie, et al.
Pubblicazione: (2026)

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

Density regression via Dirichlet process mixtures of normal structured additive regression models
di: Rodríguez-Álvarez, María Xosé, et al.
Pubblicazione: (2024)

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

Sparse higher order partial least squares for simultaneous variable selection, dimension reduction, and tensor denoising
di: Park, Kwangmoon, et al.
Pubblicazione: (2023)

Nonparametric Bayes multiresolution testing for high-dimensional rare events
di: Datta, Jyotishka, et al.
Pubblicazione: (2023)

Flexible extreme thresholds through generalised Bayesian model averaging
di: Jessup, Sébastien, et al.
Pubblicazione: (2025)

Non-crossing convex quantile regression
di: Dai, Sheng, et al.
Pubblicazione: (2022)

Quantile regression with generalized multiquadric loss function
di: Gao, Wenwu, et al.
Pubblicazione: (2025)

Bayesian nonparametric mean residual life regression
di: Poynor, Valerie, et al.
Pubblicazione: (2014)

Factorized Binary Search: change point detection in the network structure of multivariate high-dimensional time series
di: Ondrus, Martin, et al.
Pubblicazione: (2021)

Statistical inference after variable selection in Cox models: A simulation study
di: Schemet, Lena, et al.
Pubblicazione: (2026)

Penalized generalized linear mixed models for longitudinal outcomes in genetic association studies
di: St-Pierre, Julien, et al.
Pubblicazione: (2025)

Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches
di: Lam, Ka Kin, et al.
Pubblicazione: (2021)

Logistic regression models: practical induced prior specification
di: Newman, Ken B., et al.
Pubblicazione: (2025)

While-alive regression analysis of composite survival endpoints
di: Fang, Xi, et al.
Pubblicazione: (2025)

Marginally interpretable spatial logistic regression with bridge processes
di: Lee, Changwoo J., et al.
Pubblicazione: (2024)

Bayesian variable selection using an informed reversible jump in imaging genetics: an application to schizophrenia
di: Montcho, Djidenou, et al.
Pubblicazione: (2023)

Variance-based variable selection in sensor calibration with strong interferents -- application to air pollution monitoring with a carbon nanotube sensor array
di: Dumon, Marine, et al.
Pubblicazione: (2025)

Comparison of the LASSO and Integrative LASSO with Penalty Factors (IPF-LASSO) methods for multi-omics data: Variable selection with Type I error control
di: Castel, Charlotte, et al.
Pubblicazione: (2024)

FDR controlling procedures with dimension reduction and their application to GWAS with linkage disequilibrium score
di: Jung, Dayeon, et al.
Pubblicazione: (2025)

Dynamic Bayesian regression quantile synthesis for forecasting outlook-at-risk
di: Kobayashi, Genya, et al.
Pubblicazione: (2026)

Conditional probability tensor decompositions for multivariate categorical response regression
di: Molstad, Aaron J., et al.
Pubblicazione: (2022)

This is not normal! (Re-) Evaluating the lower $n$ guidelines for regression analysis
di: Randahl, David
Pubblicazione: (2024)

Bayesian network-guided sparse regression with flexible varying effects
di: Ren, Yangfan, et al.
Pubblicazione: (2024)