Image de couverture de livre

Testing Elliptical Models in High Dimensions

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Siyao, Lopes, Miles E.
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

A Goodness-of-Fit Test for Independent Component Models in High Dimensions
par: Liu, Mingshuo, et autres
Publié: (2026)

Empirical Error Estimates for Graph Sparsification
par: Wang, Siyao, et autres
Publié: (2025)

Robust Max Statistics for High-Dimensional Inference
par: Liu, Mingshuo, et autres
Publié: (2024)

On Elliptical and Inverse Elliptical Wishart distributions
par: Ayadi, Imen, et autres
Publié: (2024)

Extremes in High Dimensions: Methods and Scalable Algorithms
par: Lederer, Johannes, et autres
Publié: (2023)

The Spurious Factor Dilemma: Robust Inference in Heavy-Tailed Elliptical Factor Models
par: Hu, Jiang, et autres
Publié: (2025)

Jointly Modeling and Clustering Tensors in High Dimensions
par: Cai, Biao, et autres
Publié: (2021)

Strong Oracle Guarantees for Partial Penalized Tests of High Dimensional Generalized Linear Models
par: Jacobson, Tate
Publié: (2024)

Efficient High-Dimensional Conditional Independence Testing
par: Banerjee, Bilol
Publié: (2025)

Testing Separability of High-Dimensional Covariance Matrices
par: Sung, Bongjung, et autres
Publié: (2025)

Parameter Inference for Hypo-Elliptic Diffusions under a Weak Design Condition
par: Iguchi, Yuga, et autres
Publié: (2023)

Local Projection Inference in High Dimensions
par: Adamek, Robert, et autres
Publié: (2022)

On the Impossibility of Specification Testing of Interference Models Based on Exposure Mappings
par: Gao, Chao, et autres
Publié: (2026)

A Shrinkage Likelihood Ratio Test for High-Dimensional Subgroup Analysis with a Logistic-Normal Mixture Model
par: Takeishi, Shota
Publié: (2023)

Testing High-Dimensional Mediation Effect with Arbitrary Exposure-Mediator Coefficients
par: Lin, Yinan, et autres
Publié: (2023)

Model-free Bootstrap and Conformal Prediction in Regression: Conditionality, Conjecture Testing, and Pertinent Prediction Intervals
par: Wang, Yiren, et autres
Publié: (2021)

Testing for Single-Population Ancestry in the Admixture Model
par: Dette, Holger, et autres
Publié: (2026)

Profiled Transfer Learning for High Dimensional Linear Model
par: Lin, Ziqian, et autres
Publié: (2024)

Subspace Ordering for Maximum Response Preservation in Sufficient Dimension Reduction
par: Boonstra, Derik T., et autres
Publié: (2025)

High-Dimensional Covariate-Dependent Discrete Graphical Models and Dynamic Ising Models
par: Roach, Lyndsay, et autres
Publié: (2025)

Dimension estimation in PCA model using high-dimensional data augmentation
par: Radojicic, Una, et autres
Publié: (2025)

A Two-Step Projection-Based Goodness-of-Fit Test for Ultra-High Dimensional Sparse Regressions
par: Tan, Falong, et autres
Publié: (2024)

Debiased Inference for High-Dimensional Regression Models Based on Profile M-Estimation
par: Wang, Yi, et autres
Publié: (2025)

A Heavily Right Strategy for Statistical Inference with Dependent Studies in Any Dimension
par: Liu, Tianle, et autres
Publié: (2025)

Multiple Hypothesis Testing To Estimate The Number Of Communities in Stochastic Block Models
par: Jha, Chetkar, et autres
Publié: (2025)

Power Enhancement of Permutation-Augmented Partial-Correlation Tests via Fixed-Row Permutations
par: Wang, Tianyi, et autres
Publié: (2025)

On Sharpened Convergence Rate of Generalized Sliced Inverse Regression for Nonlinear Sufficient Dimension Reduction
par: Choi, Chak Fung, et autres
Publié: (2026)

Semiparametric Efficiency of Residual Correlation Testing under Gaussian Additive Noise Models
par: Tang, Yin, et autres
Publié: (2026)

Testing Partially-Identifiable Causal Queries Using Ternary Tests
par: Bhadane, Sourbh, et autres
Publié: (2026)

Large-scale Multiple Testing of Cross-covariance Functions with Applications to Functional Network Models
par: Fang, Qin, et autres
Publié: (2024)

Data Gluttony: Epistemic Risks, Dependent Testing and Data Reuse in Large Datasets
par: Dale, Reid, et autres
Publié: (2025)

Testing Imprecise Hypotheses
par: Kania, Lucas, et autres
Publié: (2025)

Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
par: Zhang, Yilin, et autres
Publié: (2024)

Extending Kernel Testing To General Designs
par: Ozier-Lafontaine, Anthony, et autres
Publié: (2024)

Generalized Independence Test for Modern Data
par: Liu, Mingshuo, et autres
Publié: (2024)

Testing conditional independence under isotonicity
par: Hore, Rohan, et autres
Publié: (2025)

Testing Random Effects for Binomial Data
par: Kania, Lucas, et autres
Publié: (2025)

A New Look at Bayesian Testing
par: Datta, Jyotishka, et autres
Publié: (2026)

Statistical Inference on High Dimensional Gaussian Graphical Regression Models
par: Meng, Xuran, et autres
Publié: (2024)

Tests for constancy of model parameters Over time
par: Hjort, Nils Lid, et autres
Publié: (2026)