Imagen de Portada

Variable selection via thresholding

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ho, Ka Long Keith, Nguyen, Hien Duy
Formato:	Preprint
Publicado:	2025
Materias:	Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Variable selection via thresholding
por: Ka Long Keith Ho, et al.
Publicado: (2025)

PanIC: consistent information criteria for general model selection problems
por: Nguyen, Hien Duy
Publicado: (2023)

Modifications of the BIC for order selection in finite mixture models
por: Nguyen, Hien Duy, et al.
Publicado: (2025)

Characterisations of Kullback--Leibler approximation by finite Gaussian mixtures
por: Nguyen, Hien Duy
Publicado: (2026)

Approximation by mixtures of multivariate Erlang distributions
por: Nguyen, Hien Duy
Publicado: (2026)

Bounds on the Number of Modes of a Gaussian Mixture Density
por: Nguyen, Hien Duy
Publicado: (2026)

Consistency of the Bayesian Information Criterion for Model Selection in Exploratory Factor Analysis
por: Nguyen, Hien Duy, et al.
Publicado: (2026)

On the identifiability of Dirichlet mixture models
por: Nguyen, Hien Duy, et al.
Publicado: (2026)

Adaptive Ridge Approach to Heteroscedastic Regression
por: Ho, Ka Long Keith, et al.
Publicado: (2024)

On the large-sample limits of some Bayesian model evaluation statistics
por: Nguyen, Hien Duy, et al.
Publicado: (2025)

Approximation rates for finite mixtures of location-scale models and fast least-squares estimators
por: Nguyen, Hien Duy, et al.
Publicado: (2025)

A variational framework for modal estimation
por: LeMinh, Tâm, et al.
Publicado: (2026)

Learning Topic Hierarchies by Tree-Directed Latent Variable Models
por: Chakraborty, Sunrit, et al.
Publicado: (2024)

Moments of Student's t-distribution: A Unified Approach
por: Kirkby, J. Lars, et al.
Publicado: (2019)

A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
por: Ho, Binh H., et al.
Publicado: (2025)

Variable selection for partially linear single-index varying-coefficient model
por: Han, Lijuan, et al.
Publicado: (2024)

MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound
por: Pham, Phu-Hoa, et al.
Publicado: (2026)

Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts
por: Tran, TrungKhang, et al.
Publicado: (2026)

The statistical threshold for planted matchings and spanning trees
por: Addario-Berry, Louigi, et al.
Publicado: (2026)

Pareto processes for threshold exceedances in spatial extremes
por: Dombry, Clement, et al.
Publicado: (2024)

Optimal transport based theory for latent structured models
por: Nguyen, XuanLong, et al.
Publicado: (2026)

Learning Mixtures of Nonparametric and Convolutional Measures on Effectively Low-dimensional Affine Spaces
por: Chakraborty, Sunrit, et al.
Publicado: (2026)

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

Statistical inference for multi-regime threshold Ornstein-Uhlenbeck processes
por: Han, Yuecai, et al.
Publicado: (2024)

Optimal estimators for threshold-based quality measures
por: Abrams, Aaron, et al.
Publicado: (2025)

Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning
por: Dang, Hien, et al.
Publicado: (2026)

Improving Minimax Estimation Rates for Contaminated Mixture of Multinomial Logistic Experts via Expert Heterogeneity
por: Yan, Fanqi, et al.
Publicado: (2026)

Estimating Multiple Weighted Networks with Node-Sparse Differences and Shared Low-Rank Structure
por: Yan, Hao, et al.
Publicado: (2025)

Improved dependence on coherence in eigenvector and eigenvalue estimation error bounds
por: Yan, Hao, et al.
Publicado: (2025)

On the Effect of Misspecifying the Embedding Dimension in Low-rank Network Models
por: Taing, Roddy, et al.
Publicado: (2026)

Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models
por: Yan, Hao, et al.
Publicado: (2024)

Dirichlet moment tensors and the correspondence between admixture and mixture of product models
por: Do, Dat, et al.
Publicado: (2025)

On a class of high dimensional linear regression methods with debiasing and thresholding
por: Wang, Ying-Ao, et al.
Publicado: (2025)

Inference post region selection
por: Bontemps, Dominique, et al.
Publicado: (2025)

Sampling models for selective inference
por: Rasines, Daniel Garcia, et al.
Publicado: (2025)

Maximum likelihood thresholds of generic linear concentration models
por: Bernstein, Daniel Irving, et al.
Publicado: (2023)

Taylor's Theorem and Mean Value Theorem for Random Functions and Random Variables
por: Yang, Yifan, et al.
Publicado: (2021)

Change Point Detection and Mean-Field Dynamics of Variable Productivity Hawkes Processes
por: Kresin, Conor, et al.
Publicado: (2025)

Adjacency Spectral Embeddings of Correlation Networks
por: Levin, Keith
Publicado: (2026)

Bayesian Controlled FDR Variable Selection via Parameter-Expanded Latent Knockoffs
por: Focardi-Olmi, Lorenzo, et al.
Publicado: (2024)