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Statistical Estimation: Models and Learning Machines
Covers statistical estimation models, ML estimators, learning machines, practical issues, and challenges in estimation.
Block Models: Continued Analysis
Explores the stochastic blockmodel, spectral clustering, and non-parametric understanding of blockmodels, emphasizing metrics for comparing graph models.
