714 citations · 1k across the 30 of their papers we have counts for
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Interaction Models and Generalized Score Matching for Compositional Data
Shiqing Yu, Mathias Drton, Ali Shojaie
Applications such as the analysis of microbiome data have led to renewed interest in statistical methods for compositional data, i.e., multivariate data in the form of probability…
Causal Structural Learning Via Local Graphs
Wenyu Chen, Mathias Drton, Ali Shojaie
We consider the problem of learning causal structures in sparse high-dimensional settings that may be subject to the presence of (potentially many) unmeasured confounders, as well…
Generalized Score Matching for General Domains
Shiqing Yu, Mathias Drton, Ali Shojaie
Estimation of density functions supported on general domains arises when the data is naturally restricted to a proper subset of the real space. This problem is complicated by typic…
Directed Graphical Models and Causal Discovery for Zero-Inflated Data
Shiqing Yu, Mathias Drton, Ali Shojaie
Modern RNA sequencing technologies provide gene expression measurements from single cells that promise refined insights on regulatory relationships among genes. Directed graphical…
Statistical significance in high-dimensional linear mixed models
Lina Lin, Mathias Drton, Ali Shojaie
This paper concerns the development of an inferential framework for high-dimensional linear mixed effect models. These are suitable models, for instance, when we have repeated…
Graphical Models for Non-Negative Data Using Generalized Score Matching
Shiqing Yu, Mathias Drton, Ali Shojaie
A common challenge in estimating parameters of probability density functions is the intractability of the normalizing constant. While in such cases maximum likelihood estimation ma…