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20132024
most citedJoint limiting laws for high-dimensional independence tests

14 citations · 25 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ME2024

Hypothesis Testing for High-Dimensional Matrix-Valued Data

Shijie Cui, Danning Li, Runze Li +1

This paper addresses hypothesis testing for the mean of matrix-valued data in high-dimensional settings. We investigate the minimum discrepancy test, originally proposed by Cragg (…

stat.ME2024

Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional Data with Application to Microbiome Data Analysis

Danning Li, Lingzhou Xue, Haoyi Yang +1

Testing differences in mean vectors is a fundamental task in the analysis of high-dimensional compositional data. Existing methods may suffer from low power if the underlying signa…

stat.ME2021

Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing

Xiufan Yu, Danning Li, Lingzhou Xue +1

Power-enhanced tests with high-dimensional data have received growing attention in theoretical and applied statistics in recent years. Existing tests possess their respective high-…

math.ST2020★ 3 cited

Fisher's combined probability test for high-dimensional covariance matrices

Xiufan Yu, Danning Li, Lingzhou Xue

Testing large covariance matrices is of fundamental importance in statistical analysis with high-dimensional data. In the past decade, three types of test statistics have been stud…

math.ST2015★ 14 cited

Joint limiting laws for high-dimensional independence tests

Danning Li, Lingzhou Xue

Testing independence is of significant interest in many important areas of large-scale inference. Using extreme-value form statistics to test against sparse alternatives and using…

math.ST2014★ 8 cited

SURE Information Criteria for Large Covariance Matrix Estimation and Their Asymptotic Properties

Danning Li, Hui Zou

Consider independent and identically distributed -dimensional Gaussian random vectors with covariance matrix The problem of estimating when is much larger than…

math.PR2013

Approximation of Rectangular Beta-Laguerre Ensembles and Large Deviations

Tiefeng Jiang, Danning Li

We investigate the random eigenvalues coming from the beta-Laguerre ensemble with parameter p, which is a generalization of the real, complex and quaternion Wishart matrices of par…