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Fall 2017
Nov 18, 2017
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MATH 671 - Applied Stochastic Processes.
Discrete parameter Markov chains, including branching processes and random walks. Limit theorems and ergodic properties of Markov chains. Continuous parameter Markov chains, including birth and death process. Topics selected from the following areas: renewal processes, Brownian motion, statistical inference for stochastic processes.


4.000 Credit hours

Schedule Types: Lecture, Final Exam

Graduate Studies
Mathematics and Statistics Department

Restrictions:
May not be enrolled in one of the following Levels:     
      Undergraduate
May not be enrolled in one of the following Faculties:     
      Faculty of Dentistry
      Faculty of Medicine
      School of Continuing Studies

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