Welcome to STAT 846.3 (02). This course discusses the theoretical foundations for making inferences about probabilistic models from data. Consideration will be given to Bayesian, likelihood, and frequentist paradigms.Students are expected to have a strong background in the mathematical methods of Statistics, which would be gained by taking a course such as STATS 342. Although not strictly required, it would also be useful for students to have had some exposure to applied statistical methods, to provide context and intuition for the theoretical models that will be discussed. If you are interested in taking the course, and do not have these prerequisites, you should be prepared to convince the instructor that you have sufficient equivalent background to succeed in the course.
The lectures of this course are held jointly with STAT 442. Graduate students registered in STAT 846.3 will have to satisfy requirements beyond those of students in STAT 442.3 in order to get graduate credit.