A note on asymptotic distributions in directed exponential random graph models with bi-degree sequences

DOI10.1080/03610926.2016.1193202zbMath1377.62063OpenAlexW2511768518MaRDI QIDQ4588879

Jing Luo, Hong Qin, Ting Yan, Laala Zeyneb

Publication date: 3 November 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://figshare.com/articles/journal_contribution/A_note_on_asymptotic_distributions_in_directed_exponential_random_graph_models_with_bi-degree_sequences/3619746

zbMATH Keywords

central limit theoremmaximum likelihood estimatordirected networksincreasing number of parameters

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Random graphs (graph-theoretic aspects) (05C80)

Related Items (6)

Asymptotic distribution in directed finite weighted random graphs with an increasing bi-degree sequence ⋮ Asymptotic distribution in affiliation finite discrete weighted networks with an increasing degree sequence ⋮ Approximate estimation in a class of directed networks ⋮ A note on asymptotic distributions in a network model with degree heterogeneity and homophily ⋮ Asymptotic in undirected random graph models with a noisy degree sequence ⋮ A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market

This page was built for publication: A note on asymptotic distributions in directed exponential random graph models with bi-degree sequences