:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Szwagier, Tom, Olikier, Guillaume, Pennec, Xavier
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2504.10110
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The curse of isotropy: from principal components to principal subspaces
by: Szwagier, Tom, et al.
Published: (2023)

Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles
by: Szwagier, Tom, et al.
Published: (2025)

Nested subspace learning with flags
by: Szwagier, Tom, et al.
Published: (2025)

Parsimonious Clustering of Covariance Matrices
by: Xu, Yixi, et al.
Published: (2025)

Parsimonious Compactly Supported Covariance Models in the Gauss Hypergeometric Class: Identifiability, Reparameterizations, and Asymptotic Properties
by: Bevilacqua, Moreno, et al.
Published: (2025)

An Eigengap Ratio Test for Determining the Number of Communities in Network Data
by: Wu, Yujia, et al.
Published: (2024)

Parsimonious Ultrametric Manly Mixture Models
by: Sochaniwsky, Alexa A., et al.
Published: (2025)

Parsimoniously Fitting Large Multivariate Random Effects in glmmTMB
by: McGillycuddy, Maeve, et al.
Published: (2024)

Parsimonious Modeling of Periodic Time Series Using Fourier and Wavelet Techniques
by: Davis, Rhea, et al.
Published: (2025)

Parsimonious Subset Selection for Generalized Linear Models with Biomedical Applications
by: Mathur, Anant, et al.
Published: (2026)

Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
by: Cao, Cheng, et al.
Published: (2023)

Parsimonious Factor Models for Asymmetric Dependence in Multivariate Extremes
by: Krupskii, Pavel, et al.
Published: (2025)

The Fragility of Sparsity
by: Kolesár, Michal, et al.
Published: (2023)

Retractions on closed sets
by: Olikier, Guillaume
Published: (2024)

Efficient Canonical Correlation Analysis with Sparsity
by: Wu, Zixuan, et al.
Published: (2025)

Covariate balancing for causal inference on categorical and continuous treatments
by: Lee, Seong-ho, et al.
Published: (2021)

Efficient Inference for Covariate-adjusted Bradley-Terry Model with Covariate Shift
by: Li, Xiudi, et al.
Published: (2025)

Robust Distance Covariance
by: Leyder, Sarah, et al.
Published: (2024)

A Bayesian Generalized Bridge Regression Approach to Covariance Estimation in the Presence of Covariates
by: Zhao, Christina, et al.
Published: (2024)

A Structured Estimator for large Covariance Matrices in the Presence of Pairwise and Spatial Covariates
by: Metodiev, Martin, et al.
Published: (2024)

A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models
by: Beisson, Rémi, et al.
Published: (2024)

Sparsity learning via structured functional factor augmentation
by: Ma, Hanteng, et al.
Published: (2025)

Community Detection on Inhomogeneous Multilayer Networks with Extreme Sparsity
by: Shen, Tao, et al.
Published: (2026)

Balancing Covariates in Survey Experiments
by: Tian, Pengfei, et al.
Published: (2026)

Covariate balancing with measurement error
by: Wen, Xialing, et al.
Published: (2024)

Modeling with Categorical Features via Exact Fusion and Sparsity Regularisation
by: Behdin, Kayhan, et al.
Published: (2026)

Clustered Covariate Regression
by: Soale, Abdul-Nasah, et al.
Published: (2023)

Spectral Clustering on Multilayer Networks with Covariates
by: Zhao, Da, et al.
Published: (2025)

How Balanced Should Causal Covariates Be?
by: Kaul, Shiva, et al.
Published: (2025)

Covariance Regression based on Basis Expansion
by: Bak, Kwan-Young, et al.
Published: (2025)

Predictive Uncertainty Quantification with Missing Covariates
by: Zaffran, Margaux, et al.
Published: (2024)

Optimal Correlation for Bernoulli Trials with Covariates
by: Morrison, Tim, et al.
Published: (2024)

Identifiability of Latent Class Models with Covariates
by: Ouyang, Jing, et al.
Published: (2021)

Covariate-dependent hierarchical Dirichlet processes
by: Zhang, Huizi, et al.
Published: (2024)

Distance Covariance, Independence, and Pairwise Differences
by: Raymaekers, Jakob, et al.
Published: (2024)

Conic Sparsity: Estimation of Regression Parameters in Closed Convex Polyhedral Cones
by: Agarwala, Neha, et al.
Published: (2023)

From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning
by: Yan, Lixiang, et al.
Published: (2024)

LLM Sparsity Prior for Robust Feature Selection
by: Skinner, Caleb, et al.
Published: (2026)

Sparsity meets correlation in Gaussian sequence model
by: Kotekal, Subhodh, et al.
Published: (2023)

Multiview Graph Fusion with Covariates
by: Guha, Sharmistha, et al.
Published: (2026)