Statistical inference of directed relations given some unspecified interventions (ie, the
intervention targets are unknown) is challenging. In this article, we test hypothesized …

Statistical inference of directed relations given some unspecified interventions (ie, the
intervention targets are unknown) is challenging. In this article, we test hypothesized …

Multi-modal data are prevalent in many scientific fields. In this study, we consider the
parameter estimation and variable selection for a multi-response regression using block …

Ancestry-specific proteome-wide association studies (PWAS) based on genetically predicted
protein expression can reveal complex disease etiology specific to certain ancestral groups …

We study the multivariate square-root lasso, a method for fitting the multivariate response
linear regression model with dependent errors. This estimator minimizes the nuclear norm of …

Precision matrix estimation is a ubiquitous task featuring numerous applications such as
rare disease diagnosis and neural connectivity exploration. However, this task becomes …

Supervised learning problems are commonly seen in a wide range of scientific fields such
as medicine and neuroscience. Given data with predictors and responses, an important goal …

university of minnesota graduate school Page 1 university of minnesota This is to certify that I
have examined this copy of a doctoral dissertation by Chunlin Li and have found that it is …