A NEW METHOD OF NORMAL APPROXIMATION
@article{Chatterjee2006ANM, title={A NEW METHOD OF NORMAL APPROXIMATION}, author={Sourav Chatterjee}, journal={Annals of Probability}, year={2006}, volume={36}, pages={1584-1610} }
We introduce a new version of Stein's method that reduces a large class of normal approximation problems to variance bounding exercises, thus making a connection between central limit theorems and concentration of measure. Unlike Skorokhod embeddings, the object whose variance must be bounded has an explicit formula that makes it possible to carry out the program more easily. As an application, we derive a general CLT for functions that are obtained as combinations of many local contributions…
151 Citations
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References
SHOWING 1-10 OF 61 REFERENCES
Stein's method for normal approximation
- Mathematics
- 2005
Stein’s method originated in 1972 in a paper in the Proceedings of the Sixth Berkeley Symposium. In that paper, he introduced the method in order to determine the accuracy of the normal approximation…
MULTIVARIATE NORMAL APPROXIMATION USING EXCHANGEABLE PAIRS
- Mathematics
- 2007
Since the introduction of Stein's method in the early 1970s, much research has been done in extending and strengthening it; however, there does not exist a version of Stein's original method of…
Multivariate normal approximations by Stein's method and size bias couplings
- Mathematics
- 1996
Stein's method is used to obtain two theorems on multivariate normal approximation. Our main theorem, Theorem 1.2, provides a bound on the distance to normality for any non-negative random vector.…
Stein's Method: Expository Lectures and Applications
- Mathematics
- 2004
A review of Stein’s method applied to the case of discrete random variables and attempt to complete one of Stein's open problems, that of providing a discrete version for chapter 6 of his book.
Stein's method for diffusion approximations
- Mathematics
- 1990
SummaryStein's method of obtaining distributional approximations is developed in the context of functional approximation by the Wiener process and other Gaussian processes. An appropriate analogue of…
A Multivariate CLT for Decomposable Random Vectors with Finite Second Moments
- Mathematics
- 2004
Stein's method is used to derive a CLT for dependent random vectors possessing the dependence structure from Barbour et al. J. Combin. Theory Ser. B47, 125–145, but under the assumption of second…
Fluctuations of eigenvalues and second order Poincaré inequalities
- Mathematics
- 2007
Linear statistics of eigenvalues in many familiar classes of random matrices are known to obey gaussian central limit theorems. The proofs of such results are usually rather difficult, involving hard…
Normal approximation under local dependence
- Mathematics
- 2004
We establish both uniform and nonuniform error bounds of the Berry–Esseen type in normal approximation under local dependence. These results are of an order close to the best possible if not best…
A bound for the error in the normal approximation to the distribution of a sum of dependent random variables
- Mathematics
- 1972
This paper has two aims, one fairly concrete and the other more abstract. In Section 3, bounds are obtained under certain conditions for the departure of the distribution of the sum of n terms of a…