Courses Details
BIOSTAT680: Applications of Stochastic Processes I
- Graduate level
- Residential
- Fall term(s) for residential students;
- 3 credit hour(s) for residential students;
- Instructor(s): William Wen (Residential);
- Prerequisites: Biostat 601 and Math 450 or equiv
- Description: Conditional distributions, probability generating functions, convolutions, discrete and continuous parameter, Markov chains, medical and health related applications.
- Syllabus for BIOSTAT680

| Department | Program | Degree | Competency | Specific course(s) that allow assessment | BIOSTAT | PhD | Master the theoretical foundations of probability theory and apply the theoretical principles in probabilistic modeling. | BIOSTAT680 |
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