Asymptotic normality of graph statistics
Research output: Contribution to journal › Article
Various types of graph statistics for Bernoulli graphs are represented as numerators of incomplete U-statistics. Asymptotic normality of these statistics is proved for Bernoulli graphs in which the edge probability is constant. In addition it is shown that subgraph counts asymptotically are linear functions of the number of edges in the graph.
|Research areas and keywords||
Subject classification (UKÄ) – MANDATORY
|Journal||Journal of Statistical Planning and Inference|
|Publication status||Published - 1989|