Asymptotics of Invariant Measures of Mean-field Markov Models on Countable State Spaces

Explore the asymptotics of invariant measures in mean-field Markov models on countable spaces in this 52-minute lecture by Rajesh Sundaresan from the International Centre for Theoretical Sciences. Delve into advanced topics in network science, probability theory, and statistical physics as part of a broader program bringing together leading researchers for active discussion and collaboration. Gain insights into structural properties of random graphs, dynamics on networks, interacting particle systems, and their applications in finance, data analysis, and social networks. Participate in this exchange of ideas stemming from the NETWORKS project, a 10-year initiative funded by the Dutch government to explore theoretical aspects of probability, computer science, optimization, and statistics with real-life applications.