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Lecture 24: Finite-State Markov Chains (M-I-T)

(8 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • L24.1 Lecture Overview (M-I-T)
Lecture 24: Finite-State Markov Chains (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
2
  • L24.2 Introduction to Markov Processes (M-I-T)
Lecture 24: Finite-State Markov Chains (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
3
  • L24.3 Checkout Counter Example (M-I-T)
Lecture 24: Finite-State Markov Chains (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
4
  • L24.4 Discrete-Time Finite-State Markov Chains (M-I-T)
Lecture 24: Finite-State Markov Chains (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
5
  • L24.5 N–Step Transition Probabilities (M-I-T)
Lecture 24: Finite-State Markov Chains (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
6
  • L24.6 A Numerical Example — Part I (M-I-T)
Lecture 24: Finite-State Markov Chains (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
7
  • L24.7 Generic Convergence Questions (M-I-T)
Lecture 24: Finite-State Markov Chains (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
8
  • L24.8 Recurrent and Transient States (M-I-T)
Lecture 24: Finite-State Markov Chains (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences

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