4 papers
Stein's method in network analysis
A. D. Barbour, Adrian Fischer, Gesine Reinert
The paper consists of a brief survey of the use of Stein's method in network analysis. Topics covered include normal and Poisson approximation of graph--based statistics, approxima…
New closed-form estimators for discrete distributions
Adrian Fischer
We revisit the problem of parameter estimation for discrete probability distributions with values in . To this end, we adapt a technique called Stein's Method of Mome…
Stein's method of moment estimators for local dependency exponential random graph models
Adrian Fischer, Gesine Reinert, Wenkai Xu
Providing theoretical guarantees for parameter estimation in exponential random graph models is a largely open problem. While maximum likelihood estimation has theoretical guarante…
Stein's Method of Moments on the Sphere
Adrian Fischer, Robert E. Gaunt, Yvik Swan
We use Stein characterizations to obtain new moment-type estimators for the parameters of three classical spherical distributions (namely the Fisher-Bingham, the von Mises-Fisher,…