Essentials of Math Modeling - Session 5 - Probabilistic Models
Offered By: Society for Industrial and Applied Mathematics via YouTube
Course Description
Overview
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 [email protected] for further clarification on probabilistic modeling concepts.
Syllabus
Simple Model
Markov Model
Long Term Behavior
Exercise 1: Problem
Exercise 1: Walkthrough
Matrix Multiplication
Metropolis - Hastings Algorithm
Problem Solving Session: M3C 2018
Taught by
Society for Industrial and Applied Mathematics
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