Efficient Estimation for Random Dot Product Graphs via a One-Step Procedure

DOI10.1080/01621459.2021.1948419zbMath1514.62100arXiv1910.04333OpenAlexW3179669439MaRDI QIDQ6107237

Yanxun Xu, Fangzheng Xie

Publication date: 3 July 2023

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1910.04333

zbMATH Keywords

asymptotic normalitynormalized Laplacianapproximate linearization propertyBernoulli likelihood informationlatent position estimation

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Minimax procedures in statistical decision theory (62C20) Inference from stochastic processes and spectral analysis (62M15) Graph theory (including graph drawing) in computer science (68R10) Probabilistic graphical models (62H22)

Related Items (1)

Entrywise limit theorems for eigenvectors of signal-plus-noise matrix models with weak signals

Cites Work

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