Estimation of parameters in a network reliability model with spatial dependence
ESAIM: Probability and Statistics, Tome 9 (2005), pp. 241-253

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An iterative method based on a fixed-point property is proposed for finding maximum likelihood estimators for parameters in a model of network reliability with spatial dependence. The method is shown to converge at a geometric rate under natural conditions on data.

DOI : 10.1051/ps:2005012
Classification : 62B05, 62F10
Keywords: Curie-Weiss, EM-algorithm, iterative proportional scaling, maximum likelihood, network tomography
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     author = {Dinwoodie, Ian Hepburn},
     title = {Estimation of parameters in a network reliability model with spatial dependence},
     journal = {ESAIM: Probability and Statistics},
     pages = {241--253},
     publisher = {EDP-Sciences},
     volume = {9},
     year = {2005},
     doi = {10.1051/ps:2005012},
     mrnumber = {2167326},
     zbl = {1136.62380},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.1051/ps:2005012/}
}
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Dinwoodie, Ian Hepburn. Estimation of parameters in a network reliability model with spatial dependence. ESAIM: Probability and Statistics, Tome 9 (2005), pp. 241-253. doi: 10.1051/ps:2005012

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