A note on the distribution of the extreme degrees of a random graph via
the Stein-Chen method
Methodology and Computing in Applied Probability (MCAP), 2022
Abstract
We offer an alternative proof, using the Stein-Chen method, of Bollob\'{a}s' theorem concerning the distribution of the extreme degrees of a random graph. Our proof also provides a rate of convergence of the extreme degree to its asymptotic distribution. The same method also applies in a more general setting where the probability of every pair of vertices being connected by edges depends on the number of vertices.
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