4 citations · 10 across the 13 of their papers we have counts for
10 papers · 1 filter
Interpolation and coherence in multiple testing
Ninh Tran, Dennis Leung, Jesse Hemerik
In the literature on multiple testing methods that control the familywise error rate, a fundamental concept is "coherence". A procedure is coherent if it is "logically consistent"…
Berry-Esseen theorems for the asymptotic normality of incomplete U-statistics with Bernoulli sampling
Dennis Leung
There has been a resurgence of interest in incomplete U-statistics that only sum over a subset of kernel evaluations, due to their computational efficiency and asymptotic normality…
Singularity-agnostic incomplete U-statistics for testing polynomial constraints in Gaussian covariance matrices
Dennis Leung, Nils Sturma
Testing the goodness-of-fit of a model with its defining functional constraints in the parameters could date back to Spearman (1927), who analyzed the famous "tetrad" polynomial in…
Nonuniform Berry-Esseen bounds for Studentized U-statistics
Dennis Leung, Qi-Man Shao
We establish nonuniform Berry-Esseen (B-E) bounds for Studentized U-statistics of the rate under a third-moment assumption, which covers the t-statistic that correspon…
Another look at Stein's method for Studentized nonlinear statistics with an application to U-statistics
Dennis Leung, Qi-Man Shao, Liqian Zhang
We take another look at using Stein's method to establish uniform Berry-Esseen bounds for Studentized nonlinear statistics, highlighting variable censoring and an exponential rando…
Algebraic tests of general Gaussian latent tree models
Dennis Leung, Mathias Drton
We consider general Gaussian latent tree models in which the observed variables are not restricted to be leaves of the tree. Extending related recent work, we give a full semi-alge…
Asymptotic false discovery control of the Benjamini-Hochberg procedure for pairwise comparisons
Weidong Liu, Dennis Leung, Qiman Shao
In a one-way analysis-of-variance (ANOVA) model, the number of all pairwise comparisons can be large even when there are only a moderate number of groups. Motivated by this, we con…
Asymptotic power of Rao's score test for independence in high dimensions
Dennis Leung, Qi-Man Shao
Let be the Pearson correlation matrix of normal random variables. The Rao's score test for the independence hypothesis , where …
Identifiability of directed Gaussian graphical models with one latent source
Dennis Leung, Mathias Drton, Hisayuki Hara
We study parameter identifiability of directed Gaussian graphical models with one latent variable. In the scenario we consider, the latent variable is a confounder that forms a sou…
Testing independence in high dimensions with sums of rank correlations
Dennis Leung, Mathias Drton
We treat the problem of testing independence between m continuous variables when m can be larger than the available sample size n. We consider three types of test statistics that a…