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)

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

S#	Lecture	Course	Institute	Instructor	Discipline
1	L25.10 Birth-Death Processes — Part I (M-I-T)	Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
2	L25.11 Birth-Death Processes — Part II (M-I-T)	Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
3	L25.1 Brief Introduction (M-I-T)	Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
4	L25.2 Lecture Overview (M-I-T)	Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
5	L25.3 Markov Chain Review (M-I-T)	Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
6	L25.4 The Probability of a Path (M-I-T)	Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
7	L25.5 Recurrent and Transient States: Review (M-I-T)	Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
8	L25.6 Periodic States (M-I-T)	Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
9	L25.7 Steady-State Probabilities and Convergence (M-I-T)	Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
10	L25.8 A Numerical Example — Part II (M-I-T)	Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
11	L25.9 Visit Frequency Interpretation of Steady-State Probabilities (M-I-T)	Lecture 25: Steady–State Behavior of Markov Chains (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences