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Home » Applied Sciences » Engineering » Electrical Engineering and Computer Science (M-I-T) » Introduction to Probability (Spring 2018) (M-I-T) » Part III: Random Processes (M-I-T) » Lecture 25: Steady–State Behavior of Markov Chains (M-I-T) » L25.3 Markov Chain Review (M-I-T)

L25.3 Markov Chain Review (M-I-T)

Course:Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)
Discipline:Applied Sciences
Institute:MIT
Instructor(s): Prof. John Tsitsiklis, Prof. Patrick Jaillet
Level:Graduate

Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)

L25.10 Birth-Death Processes — Part I (M-I-T)
L25.11 Birth-Death Processes — Part II (M-I-T)
L25.1 Brief Introduction (M-I-T)
L25.2 Lecture Overview (M-I-T)
L25.3 Markov Chain Review (M-I-T)
L25.4 The Probability of a Path (M-I-T)
L25.5 Recurrent and Transient States: Review (M-I-T)
L25.6 Periodic States (M-I-T)
L25.7 Steady-State Probabilities and Convergence (M-I-T)
L25.8 A Numerical Example — Part II (M-I-T)
L25.9 Visit Frequency Interpretation of Steady-State Probabilities (M-I-T)

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