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[[Introduction and Historic Background]]
 
[[Introduction and Historic Background]]
  
===Basics of a Markov Chain===
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===Basics of Markov Chains===
 
# [[Transition Diagrams]]
 
# [[Transition Diagrams]]
 
# [[Transition Probability Matrix]]
 
# [[Transition Probability Matrix]]

Revision as of 00:48, 6 December 2020

Markov Chains

Yi Li and Nicholas Fang

Table of Contents

Introduction and Historic Background

Basics of Markov Chains

  1. Transition Diagrams
  2. Transition Probability Matrix
  3. n-th Term Transition
  4. Python Demonstration

Classification of States

  1. Communication and Reducibility
  2. Periodicity of Markov Chains
  3. Recurrent State and Transient State

Markov Chain References and Additional Readings

Alumni Liaison

To all math majors: "Mathematics is a wonderfully rich subject."

Dr. Paul Garrett