Spring 2021 - STAT 460 D100
Bayesian Statistics (3)
Class Number: 3344
Delivery Method: In Person
Overview
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Course Times + Location:
Jan 11 – Apr 16, 2021: Tue, 10:30 a.m.–12:20 p.m.
BurnabyJan 11 – Apr 16, 2021: Fri, 10:30–11:20 a.m.
Burnaby -
Exam Times + Location:
Apr 17, 2021
Sat, 3:30–6:30 p.m.
Burnaby
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Instructor:
David Stenning
dstennin@sfu.ca
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Prerequisites:
STAT 330 and 350.
Description
CALENDAR DESCRIPTION:
The Bayesian approach to statistics is an alternative and increasingly popular way of quantifying uncertainty in the presence of data. This course considers comparative statistical inference, prior distributions, Bayesian computation, and applications. Quantitative.
COURSE DETAILS:
Course Outline:
1. The basics:
the Bayesian paradigm
comparative statistical inference
2. Priors:
conjugate priors
prior elicitation
reference priors
improper priors
discrete mass priors
3. Computations:
quadrature
importance sampling
Markov chain Monte Carlo
4. Other topics as time permits:
testing via Bayes factors
interval and point estimation
elementary decision theory
hierarchical models
Dirichlet process
5. Applications
Mode of Teaching:
- Lecture: Mixed (Synchronous and Asynchronous)
- Exams: Synchronous
Grading
- Assignments 25%
- Midterm 25%
- Final Exam 50%
NOTES:
Above grading is subject to change.
Materials
MATERIALS + SUPPLIES:
Access to high-speed internet, webcam.
RECOMMENDED READING:
Bayesian Data Analysis, 3rd Edition (Gelman, Carlin, Stern, Dunson, Vehtari, and Rubin)
Department Undergraduate Notes:
Students with Disabilities:
Students requiring accommodations as a result of disability must contact the Centre for Accessible Learning 778-782-3112 or csdo@sfu.ca
Tutor Requests:
Students looking for a Tutor should visit http://www.stat.sfu.ca/teaching/need-a-tutor-.html. We accept no responsibility for the consequences of any actions taken related to tutors.
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
TEACHING AT SFU IN SPRING 2021
Teaching at SFU in spring 2021 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.
Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112).