2 citations · 2 across the 1 of their papers we have counts for
3 papers
stat.ME2024
HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators
Yanke Song, Xihong Lin, Pragya Sur
Estimating heritability remains a significant challenge in statistical genetics. Diverse approaches have emerged over the years that are broadly categorized as either random effect…
math.ST2023
Universality in block dependent linear models with applications to nonparametric regression
Samriddha Lahiry, Pragya Sur
Over the past decade, characterizing the exact asymptotic risk of regularized estimators in high-dimensional regression has emerged as a popular line of work. This literature consi…
stat.ML2022★ 1 cited
Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling
Cathy Shyr, Pragya Sur, Giovanni Parmigiani +1
Cross-study replicability is a powerful model evaluation criterion that emphasizes generalizability of predictions. When training cross-study replicable prediction models, it is cr…