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Dive into the fifth session of the "Essentials of Math Modeling" series, focusing on Probabilistic Models. Explore simple models, Markov models, and long-term behavior before tackling hands-on exercises. Learn about matrix multiplication and the Metropolis-Hastings algorithm. Conclude with a problem-solving session based on the M3 Challenge 2018. Access accompanying handbooks, code, and slides through provided links for a comprehensive learning experience. Direct questions to hsmathmodeling@math.utah.edu for further clarification on probabilistic modeling concepts.
