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Abstract: Modelling structured multivariate point process data has wide ranging applications like understanding neural activity, developing faster file access systems and learning dependencies among servers in large networks. In this paper, we develop the Poisson network model for representing multivariate structured Poisson processes. In our model each node of the network represents a Poisson process. (Update)
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BibTeX entry: (Update)
@misc{ ece-poissonnetworks,
author = "Shyamsundar Rajaram Ece",
title = "Poisson-Networks: A Model for Structured Point Processes",
url = "citeseer.ist.psu.edu/733211.html" }
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