Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution

Research article (Social Networks, 2017) · cited 27× · AI/ML
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Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution

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Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-bayesian-inference-for-exponential-random-graph-models-by-correcting-the-pseudo-posterior-distribution
MLA “Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-bayesian-inference-for-exponential-random-graph-models-by-correcting-the-pseudo-posterior-distribution.
BibTeX @misc{4ortxyz_efficient-bayesian-inference-for-exponential-random-graph-models-by-correcting-the-pseudo-posterior-distribution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-bayesian-inference-for-exponential-random-graph-models-by-correcting-the-pseudo-posterior-distribution}, note = {Accessed: 2026-05-24}}
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