September 2012 Distribution of minimal path lengths when edge lengths are independent heterogeneous exponential random variables
Sheldon M. Ross
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J. Appl. Probab. 49(3): 895-900 (September 2012). DOI: 10.1239/jap/1346955343

Abstract

We find the joint distribution of the lengths of the shortest paths from a specified node to all other nodes in a network in which the edge lengths are assumed to be independent heterogeneous exponential random variables. We also give an efficient way to simulate these lengths that requires only one generated exponential per node, as well as efficient procedures to use the simulated data to estimate quantities of the joint distribution.

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Sheldon M. Ross. "Distribution of minimal path lengths when edge lengths are independent heterogeneous exponential random variables." J. Appl. Probab. 49 (3) 895 - 900, September 2012. https://doi.org/10.1239/jap/1346955343

Information

Published: September 2012
First available in Project Euclid: 6 September 2012

zbMATH: 1252.05204
MathSciNet: MR3012109
Digital Object Identifier: 10.1239/jap/1346955343

Subjects:
Primary: 05C80 , 60C05

Keywords: exponential edge length , joint distribution , Shortest path , simulation

Rights: Copyright © 2012 Applied Probability Trust

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Vol.49 • No. 3 • September 2012
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