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Applied Stochastic Models: Course Outline

Incorporates traditional statistical and probability theory with modern computational methods.

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Course Outline

  • Probability generating, functions.
  • Compound distributions.
  • Simple random walk.
  • branching processes.
  • Markov process.
  • discrete and continuous time Markov chains.
  • birth-death process.
  • immigration and emigration process.
  • immigration-death processes.
  • renewal processes.
  • Markov renewal process.
  • Ergodic theorem.
  • Gaussian processes and Brownian motion.

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