This course covers transition diagrams, steady states, regular Markov chains, absorbing Markov chains, and more. Students will learn about Markov Chains, regular Markov Chains, and applied problems related to them. The teaching method includes theoretical explanations and practical problem-solving. This course is intended for learners interested in probability theory and stochastic processes.
Overview
Syllabus
Markov Chains - Part 1.
Markov Chains, Part 2.
Markov Chains, Part 3 - Regular Markov Chains.
Markov Chains , Part 4.
Markov Chains, Part 5.
Markov Chains - Part 6 - Applied Problem for Regular Markov Chains.
Markov Chains - Part 7 - Absorbing Markov Chains and Absorbing States.
Markov Chains - Part 8 - Standard Form for Absorbing Markov Chains.
Markov Chains - Part 9 - Limiting Matrices of Absorbing Markov Chains.
Taught by
patrickJMT
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