STAT632 INFERENCE FOR STOCHASTIC PROCESSES

Course Code:2460632
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:8.0
Department:Statistics
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:
Offered Semester:Fall Semesters.

Course Objectives


Course Content

Special models. Large sample theory for discrete and continuous parameter stochastic processes. Optimal testing. Bayesian, nonparametric and sequential inference for stochastic processes. Martingales. Stochastic differential equations.


Course Learning Outcomes