Cover Image

Estimation and variable selection in high dimension in nonlinear mixed-effects models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Caillebotte, Antoine, Kuhn, Estelle, Lemler, Sarah
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Estimation and variable selection in high dimension in a causal joint model of survival times and longitudinal outcomes with random effects
by: Caillebotte, Antoine, et al.
Published: (2023)

Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm
by: Naveau, Marion, et al.
Published: (2022)

Improved confidence intervals for nonlinear mixed-effects and nonparametric regression models
by: Zheng, Nan, et al.
Published: (2024)

Increasing dimension asymptotics for two-way crossed mixed effect models
by: Lyu, Ziyang, et al.
Published: (2024)

Thresholded Lasso for high dimensional variable selection
by: Zhou, Shuheng
Published: (2023)

A note on numerical evaluation of conditional Akaike information for nonlinear mixed-effects models
by: Zheng, Nan, et al.
Published: (2024)

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

Quasi-likelihood inference for SDE with mixed-effects observed at high frequency
by: Delattre, Maud, et al.
Published: (2025)

Nonparametric estimation of the stationary density for Hawkes-diffusion systems with known and unknown intensity
by: Amorino, Chiara, et al.
Published: (2024)

Community detection for binary graphical models in high dimension
by: Chevallier, Julien, et al.
Published: (2024)

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

HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators
by: Song, Yanke, et al.
Published: (2024)

Latent confounding in high-dimensional nonlinear models
by: Wang, Yuhao, et al.
Published: (2025)

Likelihood ratio tests under model misspecification in high dimensions
by: Dörnemann, Nina
Published: (2022)

A penalized criterion for selecting the number of clusters for K-medians
by: Godichon-Baggioni, Antoine, et al.
Published: (2022)

Posterior contraction rates in a sparse non-linear mixed-effects model
by: Naveau, Marion, et al.
Published: (2024)

Exact mean and covariance formulas after diagonal transformations of a multivariate normal
by: Morrison, Rebecca, et al.
Published: (2024)

Optimality and computational barriers in variable selection under dependence
by: Gao, Ming, et al.
Published: (2025)

Enabling stratified sampling in high dimensions via nonlinear dimensionality reduction
by: Geraci, Gianluca, et al.
Published: (2025)

Estimation of the elasticity for CKLS model from high-frequency observations
by: Ning, Boyuan, et al.
Published: (2025)

Network signflip parallel analysis for selecting the embedding dimension
by: Hong, David, et al.
Published: (2025)

Gaussian quasi-likelihood analysis for non-Gaussian linear mixed-effects model with system noise
by: Imamura, Takumi, et al.
Published: (2024)

Estimation and inference for the Wasserstein distance between mixing measures in topic models
by: Bing, Xin, et al.
Published: (2022)

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

The EAS approach to variable selection for multivariate response data in high-dimensional settings
by: Koner, Salil, et al.
Published: (2021)

Hybrid estimation for a mixed fractional Black-Scholes model with random effects from discrete time observations
by: Chebli, Nesrine, et al.
Published: (2025)

Robustness for free: asymptotic size and power of max-tests in high dimensions
by: Kock, Anders Bredahl, et al.
Published: (2026)

Consistent model selection in a collection of stochastic block models
by: Arts, Lucie
Published: (2025)

Estimation for the damping factor of the driving process of an SPDE in two space dimensions
by: Tonaki, Yozo, et al.
Published: (2024)

Linear shrinkage for optimization in high dimensions
by: Huang, Naqi, et al.
Published: (2024)

Bayesian one- and two-sided inference on the local effective dimension
by: Belitser, Eduard
Published: (2024)

Uniform inference in linear mixed models
by: Ekvall, Karl Oskar, et al.
Published: (2025)

Contraction rates and projection subspace estimation with Gaussian process priors in high dimension
by: Odin, Elie, et al.
Published: (2024)

Consistent complete independence test in high dimensions based on Chatterjee correlation coefficient
by: Xia, Liqi, et al.
Published: (2024)

Non-Asymptotic Analysis of Classical Spectrum Estimators with $L$-mixing Time-series Data
by: Zheng, Yuping, et al.
Published: (2024)

Estimation for linear parabolic SPDEs in two space dimensions with unknown damping parameters
by: Tonaki, Yozo, et al.
Published: (2025)

On statistical and causal models associated with acyclic directed mixed graphs
by: Zhao, Qingyuan
Published: (2025)

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

On the structure of marginals in high dimensions
by: Bartl, Daniel, et al.
Published: (2026)

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