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Explore cutting-edge developments in applied probability through this online program featuring leading researchers. Delve into emerging areas such as statistical learning theory, high-dimensional computation, Monte Carlo methods, discrete probability, percolation, and empirical methods in probability. Attend sixteen research talks spread over five days, designed for those with advanced undergraduate-level probability knowledge. Gain insights into revolutionary applications in information technology, social networks, manufacturing, economics, and more, learning how probabilistic methods and limit theorems help model, analyze, and optimize large interconnected systems.
Syllabus
Advances in Applied Probability II (ONLINE)
Taught by
International Centre for Theoretical Sciences