Cover Image

Adaptive L-tests for high dimensional independence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Ping, Ma, Huifang
Format:	Preprint
Published:	2026
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Test Procedure for High Dimensional Regression Coefficient
by: Zhao, Ping, et al.
Published: (2026)

Nonparametric Bayes multiresolution testing for high-dimensional rare events
by: Datta, Jyotishka, et al.
Published: (2023)

Adaptive active subspace-based metamodeling for high-dimensional reliability analysis
by: Kim, Jungho, et al.
Published: (2023)

Simultaneous test of the mean vectors and covariance matrices for high-dimensional data using RMT
by: Niu, Zhenzhen, et al.
Published: (2024)

Adaptive L-statistics for high dimensional test problem
by: Ma, Huifang, et al.
Published: (2024)

Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data
by: Xie, Rui, et al.
Published: (2023)

Bayesian high-dimensional biological pathway-guided mediation analysis with application to metabolomics
by: Zhang, Yuzi, et al.
Published: (2025)

Test for high-dimensional linear hypothesis of mean vectors via random integration
by: Li, Jianghao, et al.
Published: (2024)

Utilising high-dimensional data in randomised clinical trials: a review of methods and practice
by: Cherlin, Svetlana, et al.
Published: (2023)

Bayesian material flow analysis for systems with multiple levels of disaggregation and high dimensional data
by: Wang, Junyang, et al.
Published: (2022)

Sparse least trimmed squares regression for analyzing high-dimensional large data sets
by: Alfons, Andreas, et al.
Published: (2013)

Rank-based transfer learning for high-dimensional survival data with application to sepsis data
by: Qiao, Nan, et al.
Published: (2025)

Investigating dimensionally-reduced highly-damped systems with multivariate variational mode decomposition: An experimental approach
by: R, Lakhadive Mehulkumar, et al.
Published: (2025)

ToMATo: an efficient and robust clustering algorithm for high dimensional datasets. An illustration with spike sorting
by: Martineau, Louise, et al.
Published: (2025)

Identifying good forecasters via adaptive cognitive tests
by: Merkle, Edgar C., et al.
Published: (2024)

Sensitivity analysis for matching on high-dimensional predictors: A case study of racial disparity in US mortality
by: Hernandez, Marina, et al.
Published: (2024)

FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis
by: Ma, Ziling, et al.
Published: (2025)

Making high-order asymptotics practical: correcting goodness-of-fit test for astronomical count data
by: Li, Xiaoli, et al.
Published: (2025)

Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
by: Lacroix, Perrine, et al.
Published: (2021)

Doubly regularized generalized linear models for spatial observations with high-dimensional covariates
by: Sondhi, Arjun, et al.
Published: (2024)

High dimensional alpha test for linear factor pricing model with $L_q$-norm
by: Zhao, Ping, et al.
Published: (2026)

Scalable magnetic resonance fingerprinting: Incremental inference of high dimensional elliptical mixtures from large data volumes
by: Oudoumanessah, Geoffroy, et al.
Published: (2024)

Data-Driven optimal shrinkage of singular values under high-dimensional noise with separable covariance structure with application
by: Su, Pei-Chun, et al.
Published: (2022)

Modelling non-stationarity in asymptotically independent extremes
by: Murphy-Barltrop, C. J. R., et al.
Published: (2022)

Machine learning accelerates fuel cell life testing
by: Zhao, Yanbin, et al.
Published: (2025)

Latent mixed-effect models for high-dimensional longitudinal data
by: Ong, Priscilla, et al.
Published: (2024)

Empirical best prediction of poverty indicators via nested error regression with high dimensional parameters
by: Chen, Yuting, et al.
Published: (2025)

Forecasting high-dimensional functional time series with dual-factor structures
by: Tang, Chen, et al.
Published: (2021)

Disentangling the contributions of density dependence and independence to population growth rates
by: Carly L. Walters, et al.
Published: (2026)

Establish an agricultural drought index that is independent of historical element probabilities
by: Yongdi Pan, et al.
Published: (2024)

A physics and data co-driven surrogate modeling method for high-dimensional rare event simulation
by: Xian, Jianhua, et al.
Published: (2023)

Sampling effects on Lasso estimation of drift functions in high-dimensional diffusion processes
by: Amorino, Chiara, et al.
Published: (2024)

Asymmetric canonical correlation analysis of Riemannian and high-dimensional data
by: Buenfil, James, et al.
Published: (2024)

Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)

High-dimensional Bayesian Model for Disease-Specific Gene Detection in Spatial Transcriptomics
by: Zhao, Qicheng, et al.
Published: (2024)

Confidence Scoring for LLM-Generated SQL in Supply Chain Data Extraction
by: Ma, Jiekai, et al.
Published: (2025)

Modelling multiplex testing for outbreak Control
by: Fyles, Martyn, et al.
Published: (2024)

A scalable Bayesian double machine learning framework for high dimensional causal estimation, with application to racial disproportionality assessment
by: Luo, Yu, et al.
Published: (2025)

Sensitivity analysis method in the presence of a missing not at random ordinal independent variable
by: Dioni, Abdoulaye, et al.
Published: (2025)

Dual‐frequency three‐dimensional wireless power transfer system to achieve two‐channel independent maximum power transfer
by: Hanbing Dan, et al.
Published: (2024)