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STAT 601

Probability Theory II

3 Credits

Weak convergence of measures; characteristic functions; Central Limit Theorem and local limit theorem; stable laws; Kolmogorov consistency theorem (without proof); conditional expectations and martingales; optimal stopping theorem; convergence of martingales; Brownian motion; Markov processes and families; stochastic integral and Ito formula.

Prerequisites & course information

Additional Information: To prepare for this course, students should take STAT600 or consult with the course instructor before registering.

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