The Annals of Applied Probability

A central limit theorem via differential equations

Taral Guldahl Seierstad
Source: Ann. Appl. Probab. Volume 19, Number 2 (2009), 661-675.

Abstract

In a paper from 1995, Wormald gave general criteria for certain parameters in a family of discrete random processes to converge to the solution of a system of differential equations. Based on this method, we show that if some further conditions are satisfied, the parameters converge to a multivariate normal distribution.

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Primary Subjects: 60F05
Secondary Subjects: 05C80
Full-text: Open access
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aoap/1241702246
Digital Object Identifier: doi:10.1214/08-AAP557
Zentralblatt MATH identifier: 05566096
Mathematical Reviews number (MathSciNet): MR2521884

References

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Mathematical Reviews (MathSciNet): MR90703
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Mathematical Reviews (MathSciNet): MR358933
Digital Object Identifier: doi:10.1214/aop/1176996608
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Mathematical Reviews (MathSciNet): MR1179247
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Zentralblatt MATH: 0689.62036
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Mathematical Reviews (MathSciNet): MR1384372
Zentralblatt MATH: 0847.05084
Digital Object Identifier: doi:10.1214/aoap/1177004612
Project Euclid: euclid.aoap/1177004612
[7] Wormald, N. C. (1999). The differential equation method for random graph processes and greedy algorithms. In Lectures on Approximation and Randomized Algorithms. (M. Karoński and H. J. Prömel, eds.) 75–152. PWN, Warsaw.

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The Annals of Applied Probability

The Annals of Applied Probability

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