Bayesian analysis for exponential random graph models using the adaptive exchange sampler

DOI10.4310/SII.2013.V6.N4.A13zbMath1326.05142OpenAlexW2057084360WikidataQ37640823 ScholiaQ37640823MaRDI QIDQ896598

Ying Yuan, Ick Hoon Jin, Faming Liang

Publication date: 10 December 2015

Published in: Statistics and Its Interface (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4310/sii.2013.v6.n4.a13

zbMATH Keywords

social networkexchange algorithmadaptive Markov chain Monte Carloexponential random graph model

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Applications of statistics to social sciences (62P25) Bayesian inference (62F15) Random graphs (graph-theoretic aspects) (05C80) Monte Carlo methods (65C05)

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Bayesian indirect inference for models with intractable normalizing functions ⋮ Bayesian Inference in the Presence of Intractable Normalizing Functions ⋮ Exponential-family models of random graphs: inference in finite, super and infinite population scenarios ⋮ Bayesian model selection for high-dimensional Ising models, with applications to educational data ⋮ Auxiliary parameter MCMC for exponential random graph models ⋮ A Function Emulation Approach for Doubly Intractable Distributions

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