6 citations · 6 across the 5 of their papers we have counts for
6 papers
High-dimensional log contrast models with measurement errors
Wenxi Tan, Lingzhou Xue, Songshan Yang +1
High-dimensional compositional data are frequently encountered in many fields of modern scientific research. In regression analysis of compositional data, the presence of covariate…
A Unified Combination Framework for Dependent Tests with Applications to Microbiome Association Studies
Xiufan Yu, Linjun Zhang, Arun Srinivasan +2
We introduce a novel meta-analysis framework to combine dependent tests under a general setting, and utilize it to synthesize various microbiome association tests that are calculat…
Nonlinear global Fréchet regression for random objects via weak conditional expectation
Satarupa Bhattacharjee, Bing Li, Lingzhou Xue
Random objects are complex non-Euclidean data taking value in general metric space, possibly devoid of any underlying vector space structure. Such data are getting increasingly abu…
A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution
Jun Tao, Qian Chen, James W. Snyder +3
Marketers employ various online advertising channels to reach customers, and they are particularly interested in attribution for measuring the degree to which individual touchpoint…
An additive graphical model for discrete data
Jun Tao, Bing Li, Lingzhou Xue
We introduce a nonparametric graphical model for discrete node variables based on additive conditional independence. Additive conditional independence is a three way statistical re…
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection
Shiqian Ma, Lingzhou Xue, Hui Zou
Chandrasekaran, Parrilo and Willsky (2010) proposed a convex optimization problem to characterize graphical model selection in the presence of unobserved variables. This convex opt…