activity
20182021
most citedGeneralized Score Matching for General Domains

3 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ME2021

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…

stat.ME20203 cited

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…

stat.ME20201 cited

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…

stat.ML2018

Generalized Score Matching for Non-Negative Data

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…

stat.ME2018

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…