Image de couverture de livre

Asymptotics for estimating a diverging number of parameters -- with and without sparsity

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gauss, Jana, Nagler, Thomas
Format:	Preprint
Publié:	2024
Sujets:	Statistics Theory Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Properties of stepwise parameter estimation in high-dimensional vine copulas
par: Gauss, Jana, et autres
Publié: (2025)

Limiting laws and consistent estimation criteria for fixed and diverging number of spiked eigenvalues
par: Hu, Jianwei, et autres
Publié: (2020)

The modified odd Burr XII-G family of distributions: Properties and Applications
par: Ferreira, Alexsandro A., et autres
Publié: (2025)

Asymptotic theory and bias correction for the Wallace--Freeman estimator
par: Makalic, Enes, et autres
Publié: (2026)

Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity
par: Liu, Lin, et autres
Publié: (2023)

Robust estimation of polyserial correlation coefficients: A density power divergence approach
par: Welz, Max
Publié: (2025)

On unbiased estimators for functions of the rate parameter of the exponential distribution
par: Vila, Roberto, et autres
Publié: (2025)

Testing the equality of estimable parameters across many populations
par: Romero-Madroñal, Marcos, et autres
Publié: (2025)

Models of linkage error for capture-recapture estimation without clerical reviews
par: Dasylva, Abel, et autres
Publié: (2024)

Consistent Empirical Bayes estimation of the mean of a mixing distribution without identifiability assumption. With applications to treatment of non-response
par: Greenshtein, Eitan
Publié: (2024)

Asymptotics for parametric martingale posteriors
par: Fong, Edwin, et autres
Publié: (2024)

Asymptotic Inference for Constrained Regression
par: Sankaranarayanan, Madhav, et autres
Publié: (2025)

Efficient estimation with incomplete data via generalised ANOVA decompositions
par: Berrett, Thomas B.
Publié: (2024)

A note on the relation between one-step, outcome regression and IPW-type estimators of parameters with the mixed bias property
par: Rotnitzky, Andrea, et autres
Publié: (2025)

M-Variance Asymptotics and Uniqueness of Descriptors
par: Eltzner, Benjamin
Publié: (2020)

Asymptotic and bootstrap tests for subspace dimension
par: Nordhausen, Klaus, et autres
Publié: (2016)

Asymptotic theory of rerandomization for survival analysis
par: Chen, Xinyuan, et autres
Publié: (2026)

Asymptotically-exact selective inference for quantile regression
par: Wang, Yumeng, et autres
Publié: (2024)

Asymptotic Distribution of Robust Effect Size Index
par: Zhang, Xinyu, et autres
Publié: (2026)

Asymptotic guarantees for Bayesian phylogenetic tree reconstruction
par: Kirichenko, Alisa, et autres
Publié: (2025)

Asymptotic Anytime-Valid Inference for U-statistics
par: Cai, Leheng, et autres
Publié: (2026)

Asymptotic distribution of the global clustering coefficient in a random annulus graph
par: Yuan, Mingao
Publié: (2025)

Asymptotics of predictive distributions driven by sample means and variances
par: Garelli, Samuele, et autres
Publié: (2024)

Asymptotic testing of covariance separability for matrix elliptical data
par: Virta, Joni, et autres
Publié: (2026)

An Asymptotically Exact Multiple Testing Procedure under Dependence
par: Datta, Swarnadeep, et autres
Publié: (2025)

Asymptotic theory for nonparametric testing of $k$-monotonicity in discrete distributions
par: Balabdaoui, Fadoua, et autres
Publié: (2024)

Asymptotics in Multiple Hypotheses Testing under Dependence: beyond Normality
par: Dey, Monitirtha
Publié: (2024)

Linear Model Estimators and Consistency under an Infill Asymptotic Domain
par: Natoli, Cory W., et autres
Publié: (2024)

Asymptotic properties of the MLE in distributional regression under random censoring
par: Kremling, Gitte, et autres
Publié: (2025)

Asymptotic Theory of the Best-Choice Rerandomization using the Mahalanobis Distance
par: Wang, Yuhao, et autres
Publié: (2023)

Asymptotically Optimal Sequential Multiple Testing Procedures for Correlated Normal
par: Dey, Monitirtha, et autres
Publié: (2023)

A New Class of Asymptotically Distribution-Free Smooth Tests
par: Zhang, Xiangyu, et autres
Publié: (2025)

A Kullback-Leibler divergence test for multivariate extremes: theory and practice
par: Engelke, Sebastian, et autres
Publié: (2026)

Compositional Periodic Spline Approximation for Circular Density Data in Bayes Spaces
par: Machalová, Jitka, et autres
Publié: (2026)

Asymptotic Uncertainty in the Estimation of Frequency Domain Causal Effects for Linear Processes
par: Reiter, Nicolas-Domenic, et autres
Publié: (2024)

Generalised Linear Models Driven by Latent Processes: Asymptotic Theory and Applications
par: Barreto-Souza, Wagner, et autres
Publié: (2026)

Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
par: Pompe, Emilia, et autres
Publié: (2021)

High Dimensional Bootstrap and Asymptotic Expansion for the $k$-th Largest Coordinate
par: Feng, Long
Publié: (2026)

Asymmetric GARCH modelling without moment conditions
par: Tao, Yuxin, et autres
Publié: (2024)

Do we need to estimate the variance in robust mean estimation?
par: Sun, Qiang
Publié: (2021)