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Attend the second session of a minicourse on Introduction to Statistical Network Analysis, delivered by Keith Levin from the University of Wisconsin as part of the Workshop on Randomness and Learning on Networks. Explore advanced concepts in network analysis over 1 hour and 15 minutes, building on the foundations laid in the first session. Gain insights into statistical methods for analyzing complex network structures, particularly useful for graduate students and early-career researchers in mathematics and related fields. Participate in this comprehensive program organized by the Instituto de Matemática Pura e Aplicada, which includes plenary talks, contributed presentations, and collaborative sessions, offering a rich learning experience in discrete probability and network statistics.
