23. Absorbing Markov Chains

Описание: In this comprehensive lesson on Absorbing Markov Chains, we walk step by step through the key concepts, including identifying absorbing and transient states, rewriting transition matrices into canonical form, understanding the role of the fundamental matrix, and computing expected time to absorption and absorption probabilities.

The lesson includes clear explanations, intuitive insights, and fully worked examples along with Python implementations to help you apply the concepts in practice.

Whether you are studying probability theory, preparing for exams, or working in data science, this video provides a structured and practical approach to mastering absorbing Markov chains from beginner to advanced level.

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