Lecture

Mean Field Theory: Stochastic Analysis and Applications

Description

This lecture by the instructor covers classical mean field theory, local interactions, and examples such as individual-based SIR models and raindrop formation. It delves into the challenges of local interactions and the impact of environmental noise, providing insights into stochastic analysis and random fields.

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