We study the asymptotics for sparse exponential random graph models where the parameters may depend on the number of vertices of the graph. We obtain exact estimates for the mean and variance of the ...

A parametric family of distributions is a collection of distributions with a known form that is indexed by a set of quantities called parameters. Methods based on parametric distributions of normal, ...

We consider the problem of estimating the quantiles of a one-parameter exponential distribution. Using the estimated quantiles to predict the distribution function, and attempting to minimize mean ...