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 26: Absorption Probabilities and Expected Time to Absorption (M-I-T)

Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T)

S#	Lecture	Course	Institute	Instructor	Discipline
1	L26.1 Brief Introduction (M-I-T)	Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
2	L26.2 Lecture Overview (M-I-T)	Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
3	L26.3 Review of Steady-State Behavior (M-I-T)	Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
4	L26.4 A Numerical Example — Part III (M-I-T)	Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
5	L26.5 Design of a Phone System (M-I-T)	Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
6	L26.6 Absorption Probabilities (M-I-T)	Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
7	L26.7 Expected Time to Absorption (M-I-T)	Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
8	L26.8 Mean First Passage Time (M-I-T)	Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
9	L26.9 Gambler's Ruin (M-I-T)	Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences