Essentials of Math Modeling - Session 5 - Probabilistic Models

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.

Simple Model
Markov Model
Long Term Behavior
Exercise 1: Problem
Exercise 1: Walkthrough
Matrix Multiplication
Metropolis - Hastings Algorithm
Problem Solving Session: M3C 2018