Showing 2023Show all
2 papers · 1 filter
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…
math.ST2023
Spectrum-Aware Debiasing: A Modern Inference Framework with Applications to Principal Components Regression
Yufan Li, Pragya Sur
Debiasing is a fundamental concept in high-dimensional statistics. While degrees-of-freedom adjustment is the state-of-the-art technique in high-dimensional linear regression, it i…