Electronic Communications in Probability · 2009 · 13 citations · 4 references
Natural SciencesMathematicsProbability TheoryStatisticsStochastic ModelingComputational StatisticsEdge EffectsGraph ColoringGraph TheoryLarge DeviationsProbabilistic CombinatoricsLarge Deviations PrincipleRandom Graph ModelsRandom Graph TheoryRandom Graphs
Models of random graphs are considered where the presence or absence of an edge depends on the random types (colours) of its vertices, so that whether or not edges are present can be dependent. The principal objective is to study large deviations in the number of edges. These graphs provide a natural example with two different non-degenerate large deviation regimes, one arising from large deviations in the colourings followed by typical edge placement and the other from large deviation in edge placement. A secondary objective is to illustrate the use of a general result on large deviations for mixtures.
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