1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.AP2025
Incorporating LLM Embeddings for Variation Across the Human Genome
Hongqian Niu, Jordan Bryan, Jacob Williams +5
Recent advances in large language model (LLM) embeddings have enabled powerful representations for biological data, but most applications to date focus on gene-level information. W…
math.ST2024★ 1 cited
Subscedastic weighted least squares estimates
Jordan Bryan, Haibo Zhou, Didong Li
In the heteroscedastic linear model, the weighted least squares (WLS) estimate of the model coefficients is more efficient than the ordinary least squares (OLS) esti- mate. However…