Optimal Bayesian estimation for random dot product graphs

DOI10.1093/BIOMET/ASAA031zbMath1457.62192arXiv1904.12070OpenAlexW3038586155MaRDI QIDQ5145702

Yanxun Xu, Fangzheng Xie

Publication date: 21 January 2021

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1904.12070

zbMATH Keywords

minimax optimalitylikelihood-based graph estimationpositive semidefinite stochastic block modelposterior spectral embedding

Mathematics Subject Classification ID

Minimax procedures in statistical decision theory (62C20) Inference from stochastic processes and spectral analysis (62M15) Probabilistic graphical models (62H22)

Related Items (5)

Bayesian Projected Calibration of Computer Models ⋮ Efficient Estimation for Random Dot Product Graphs via a One-Step Procedure ⋮ Euclidean Representation of Low-Rank Matrices and Its Geometric Properties ⋮ Entrywise limit theorems for eigenvectors of signal-plus-noise matrix models with weak signals ⋮ Unnamed Item

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