Stein’s method meets computational statistics: a review of some recent developments
Stein’s method compares probability distributions through the study of a class of linear operators called Stein operators. While mainly studied in probability and used to underpin theoretical statistics, Stein’s method has led to significant advances in computational statistics in recent years. The...
Main Authors: | Anastasiou, A, Barp, A, Briol, F-X, Ebner, B, Gaunt, RE, Ghaderinezhad, F, Gorham, J, Gretton, A, Ley, C, Liu, Q, Mackey, L, Oates, CJ, Reinert, G, Swan, Y |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Institute of Mathematical Statistics
2022
|
Similar Items
-
Chi-square approximation by Stein's method with application to Pearson's
statistic
by: Gaunt, R, et al.
Published: (2017) -
Bounds for the chi-square approximation of Friedman's statistic by Stein's method
by: Gaunt, R, et al.
Published: (2023) -
Stein's method for comparison of univariate distributions
by: Ley, C, et al.
Published: (2016) -
First order covariance inequalities via Stein's method
by: Ernst, M, et al.
Published: (2020) -
A kernelised Stein statistic for assessing implicit generative models
by: Xu, W, et al.
Published: (2023)