142 citations · 403 across the 40 of their papers we have counts for
44 papers
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…
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…
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…
Relaxing the Gaussian assumption in Shrinkage and SURE in high dimension
Max Fathi, Larry Goldstein, Gesine Reinert +1
Shrinkage estimation is a fundamental tool of modern statistics, pioneered by Charles Stein upon his discovery of the famous paradox involving the multivariate Gaussian. A large po…
Stein's method via induction
Louis H. Y. Chen, Larry Goldstein, Adrian Röllin
Applying an inductive technique for Stein and zero bias couplings yields Berry-Esseen theorems for normal approximation for two new examples. The conditions of the main results do…
Dickman approximation in simulation, summations and perpetuities
Chinmoy Bhattacharjee, Larry Goldstein
The generalized Dickman distribution with parameter is the unique solution to the distributional equality , where \begin{eqnarray} W^*=_d U^{1/θ}(W+1)…