Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator

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Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator

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Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator. Retrieved May 24, 2026, from https://4ort.xyz/entity/asymptotically-efficient-estimators-for-stochastic-blockmodels-the-naive-mle-the-rank-constrained-mle-and-the-spectral-e
MLA “Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/asymptotically-efficient-estimators-for-stochastic-blockmodels-the-naive-mle-the-rank-constrained-mle-and-the-spectral-e.
BibTeX @misc{4ortxyz_asymptotically-efficient-estimators-for-stochastic-blockmodels-the-naive-mle-the-rank-constrained-mle-and-the-spectral-e_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator}}, year = {2026}, url = {https://4ort.xyz/entity/asymptotically-efficient-estimators-for-stochastic-blockmodels-the-naive-mle-the-rank-constrained-mle-and-the-spectral-e}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator — https://4ort.xyz/entity/asymptotically-efficient-estimators-for-stochastic-blockmodels-the-naive-mle-the-rank-constrained-mle-and-the-spectral-e (retrieved 2026-05-24)

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