6 citations · 17 across the 10 of their papers we have counts for
5 papers · 1 filter
Detecting Interference in A/B Testing with Increasing Allocation
Kevin Han, Shuangning Li, Jialiang Mao +1
In the past decade, the technology industry has adopted online randomized controlled experiments (a.k.a. A/B testing) to guide product development and make business decisions. In p…
A tree-based model for addressing sparsity and taxa covariance in microbiome compositional count data
Zhuoqun Wang, Jialiang Mao, Li Ma
Microbiome compositional data are often high-dimensional, sparse, and exhibit pervasive cross-sample heterogeneity. Generative modeling is a popular approach to analyze such data,…
Dirichlet-tree multinomial mixtures for clustering microbiome compositions
Jialiang Mao, Li Ma
Studying the human microbiome has gained substantial interest in recent years, and a common task in the analysis of these data is to cluster microbiome compositions into subtypes.…
Bayesian graphical compositional regression for microbiome data
Jialiang Mao, Yuhan Chen, Li Ma
An important task in microbiome studies is to test the existence of and give characterization to differences in the microbiome composition across groups of samples. Important chall…
Fisher exact scanning for dependency
Li Ma, Jialiang Mao
We introduce a method---called Fisher exact scanning (FES)---for testing and identifying variable dependency that generalizes Fisher's exact test on contingency tables…