The deadline for your projects (written and presentation) is April 17, 2009. There may be some room to adjust if you are still working on some aspect(s) of the project. Please contact Tariq Mughal or your department advisors to schedule with your committee members.
This is a course being taught by Richard Fowles (Economics) that sounds very interesting. You are encouraged to enroll in this course as one of your electives.
STAT 6969 - Special Topics
M, W - 6:00p.m. to 9:00p.m.
MBH 112
5/11/09 - 6/18/09
Interest in Bayesian methods has grown immensely over the past few years. This class looks at why this is the case, beginning by comparing frequentist and Bayesian approaches to statistical analysis, looking into the objectivist and subjectivist interpretations of probability within the Bayesian school, and learning how to apply Bayesian methods utilizing widely available (and free) software including R and Winbugs. The class will be supported with readings available online and sample data and code. Students will be encouraged to take a learn-by-doing approach to this class to explore the prior to posterior Bayesian style of data analysis.
The Master of Statistics (MStat) is a professional inter-department program administered by the University Statistics Committee. The MStat Degree is for those students whose primary interest lies in statistical methods in specified disciplines. Departments participating in the program and the exact title of the degree depends on the department in which a student is enrolled.
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