Corrections to the Central Limit Theorem for Heavy-tailed Probability Densities
Classical Edgeworth expansions provide asymptotic correction terms to the Central Limit Theorem (CLT) up to an order that depends on the number of moments available. In this paper, we provide subsequent correction terms beyond those given by a standard Edgeworth expansion in the general case of regu...
Main Authors: | Lam, Henry, Blanchet, Jose, Burch, Damian, Bazant, Martin Z. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Chemical Engineering |
Format: | Article |
Language: | en_US |
Published: |
Springer-Verlag
2013
|
Online Access: | http://hdl.handle.net/1721.1/77920 |
Similar Items
-
Central limit theorem for eigenvectors of heavy tailed matrices
by: Benaych-Georges, Florent, et al.
Published: (2014) -
Heads or tails : an introduction to limit theorems in probability /
by: 376182 Lesigne, Emmanuel, et al.
Published: (2005) -
Central Limit Theorems for Linear Statistics of Heavy Tailed Random Matrices
by: Benaych-Georges, Florent, et al.
Published: (2015) -
On central limit theorems in geometrical probability
by: Avram, Florin., et al.
Published: (2009) -
Discriminating between Light- and Heavy-Tailed Distributions with Limit Theorem.
by: Krzysztof Burnecki, et al.
Published: (2015-01-01)