Material Detail

Lecture 20: Markov Processes and Random Walks

Lecture 20: Markov Processes and Random Walks

This video was recorded at 6.262 Discrete Stochastic Processes. After reviewing steady-state, this lecture discusses reversibility for Markov processes and for tandem M/M/1 queues. Random walks and their applications are then introduced.

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.
hidden