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- W3100013559 abstract "The Network Disturbance Model of Doreian (1989) expresses the dependency between observations taken at the vertices of a network by modelling the correlation between neighbouring vertices, using a single correlation parameter $rho$. It has been observed that estimation of $rho$ in dense graphs, using the method of Maximum Likelihood, leads to results that can be both biased and very unstable. In this paper, we sketch why this is the case, showing that the variability cannot be avoided, no matter how large the network. We also propose a more intuitive estimator of $rho$, which shows little bias. The related Network Effects Model is briefly discussed." @default.
- W3100013559 created "2020-11-23" @default.
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- W3100013559 date "2020-11-16" @default.
- W3100013559 modified "2023-09-23" @default.
- W3100013559 title "Estimating the correlation in network disturbance models" @default.
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- W3100013559 doi "https://doi.org/10.48550/arxiv.2011.08290" @default.
- W3100013559 hasPublicationYear "2020" @default.
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