Material Detail
Markov Chains
Created by Kyle Siegrist of the University of Alabama-Huntsville, this is an online, interactive lesson on Markov chains. The author provides examples, exercises, and applets to introduce the subject. More specifically, the lesson covers: recurrence, transience, periodicity, time reversal, as well as invariant and limiting distributions. In addition, the author has provided links to external resources for further research. Overall, this is a great resource for those interested in this statistical process. It provides basic examples to introduce the topic, but also provides a more in-depth study to further challenge students.
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More about this material
- Material Type:
- Reference Material
- Date Added to MERLOT:
- July 18, 2016
- Date Modified in MERLOT:
- December 4, 2018
- Author:
- Siegrist, Kyle, University of Alabama -- Huntsville
- Submitter:
-
Barbra Bied Sperling
