Background Periodontitis, a prevalent chronic inflammatory disease, offers insights into the
broader landscape of chronic inflammatory conditions. The progression and treatment …

In recent years, mobile devices have become the dominant communication medium in our
daily lives. This trend is also evident in the planning, arranging, and committing of criminal …

Diverse and non-Lactobacillus-dominated vaginal microbial communities are associated
with adverse health outcomes such as preterm birth and the acquisition of sexually …

By representing documents as mixtures of topics, topic modeling has allowed the successful
analysis of datasets across a wide spectrum of applications ranging from ecology to …

We address the challenge of incorporating document-level metadata into topic modeling to
improve topic mixture estimation. To overcome the computational complexity and lack of …

The probabilistic Latent Semantic Indexing model assumes that the expectation of the
corpus matrix is low-rank and can be written as the product of a topic-word matrix and a …

Time series studies of microbiome interventions provide valuable data about microbial
ecosystem structure. Unfortunately, existing models of microbial community dynamics have …

Diverse and non-Lactobacillus-dominated vaginal microbial communities are associated
with adverse health outcomes such as preterm birth and acquisition of sexually transmitted …

Mixed-membership (MM) models such as latent Dirichlet allocation (LDA) have been
applied to microbiome compositional data to identify latent subcommunities of microbial …

High-dimensional statistics focuses on data whose ambient dimension is extremely large
relative to the number of data points. In such regimes, classical asymptotic theory and …