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MathIsimple – Simple, Friendly Math Tools & Learning

A rigorous treatment of discrete-time Markov chains covering transition probability matrices, the Chapman-Kolmogorov equations, state classification (recurrent, transient, absorbing), stationary and limiting distributions, and the ergodic theorem. Includes worked examples and proofs suitable for graduate probability courses.
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More about this material

Material Type:
Tutorial
Date Added to MERLOT:
February 28, 2026
Date Modified in MERLOT:
February 28, 2026
Author:
Unknown (Know the author?)
Submitter:
Kevin hqy
Primary Audience:
College Upper Division, Graduate School
Technical Format:
Website
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
Unknown
Source Code Available:
Yes
Creative Commons:
Unknown

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