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math.PR2026★ 1 cited
Zero Bias Enhanced Stein Couplings
Larry Goldstein
The Stein couplings of Chen and Roellin (2010) vastly expanded the range of applications for which coupling constructions in Stein's method for normal approximation could be applie…
math.PR2025
Bias and Division in the Free World
Larry Goldstein, Todd Kemp
Sampling bias is a foundational concept in statistics; associated bias transforms, such as size bias, have come to play important roles in probability theory of late. The first aut…
math.PR2024
Gaussian random field approximation via Stein's method with applications to wide random neural networks
Krishnakumar Balasubramanian, Larry Goldstein, Nathan Ross +1
We derive upper bounds on the Wasserstein distance (), with respect to -norm, between any continuous valued random field indexed by the -sphere and the…