Inferring Parameters of Random Graph Models from Induced Stochastic Dynamics

Explore a one-hour lecture on inferring parameters of random graph models from induced stochastic dynamics, presented by Guilherme Ost from UFRJ. Delve into the Extended Program on Randomness and Learning on Networks, hosted by the Instituto de Matemática Pura e Aplicada (IMPA) from August 5th to August 30th, 2024. Gain insights into discrete Probability, Statistics, and related areas through a month-long program featuring talks by participating researchers, minicourses, collaborative work, and open problem sessions. Discover opportunities for financial aid, with priority given to young researchers and students from South American institutions. Learn about potential funding for participants from RandNET institutions in Europe and Chile through secondments. Access additional resources, including the event page and video playlist, to enhance your understanding of this cutting-edge research in mathematics and network analysis.