| Course Title: Bayesian Statistics |
| Start Date: 09/04/2024 End Date: 12/17/2024 |
| Term: Fall Semester 2024 |
| Description: Bayesian statistics refers to a statistical paradigm that has its roots in Bayes' theorem, where prior belief and data can be combined to update our understanding of a particular problem in what is known as the posterior. In this class, you can expect to combine your knowledge of probability and statistics to develop and apply Bayesian thinking to statistical modeling. Possible topics include conjugate families, posterior simulation, regression and classification, and hierarchical modeling. R statistical software will be used. |
| Distribution(s): II - Math & Sciences |
| Academic Level Of Course: Undergraduate     | Credits:4.00     |
| Faculty         | Phone         | Email address         |
| Ben Pittman-Polletta   |           | benpolletta@mtholyoke.edu   |
| Meeting Dates         | Method         | Meeting days         | Meeting times         | Building name         | Room     | Frequency     |
| 09/04/2024 - 12/17/2024   | Lecture   | Monday, Wednesday and Friday   | 08:30AM - 09:45AM   | CLAP - Clapp Laboratory   | 206   | Weekly |
| Requisite Courses         | ||
| Prereq: MATH-342 and STAT-242. | Take previously   | Required   |
| Comments         |
| Additional Comments         |
| Course Tags         | ||
| DATA0003   | DATA-SE: Data Science Elective Course   | This course is an elective option for the Data Science major.   |
| Cross-listed Sections         |
| None   |
| Course Availability | ||||
| Section status: Open     | Capacity: 18     | Enrollment: 7     | Available: 11     | Waitlist: 0 |
BOOK INFORMATION
| Book List         | Required         | Publisher Full Price         |
| Title: Bayes Rules! An Introduction to Applied Bayesian Modeling Author: Johnson, Alicia A. Copyright: 2022 Edition: 1 Volume: ISBN: 9780367255398 Publisher: Chapman & Hall/CRC Press, Taylor & Francis Group |
Optional   | 82.99   |
| Title: Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan Author: Kruschke, John K. Copyright: 2015 Edition: 2 Volume: ISBN: 9780123814852 Publisher: Academic Press |
Optional   | 160.94   |
| Title: A First Course in Bayesian Statistical Methods Author: Hoff, Peter D. Copyright: 2009 Edition: 2 Volume: ISBN: Publisher: Springer Nature |
Optional   | 54.99   |
| Title: Bayesian Models of Perception and Action: An Introduction Author: Ma, Wei Ji Copyright: 2023 Edition: 1 Volume: ISBN: 9780262047593 Publisher: MIT Press |
Optional   | 65.00   |
| Title: Bayesian Signal Processing: Classical, Modern, and Particle Filtering Metho Author: Candy, James V. Copyright: 2016 Edition: 2 Volume: ISBN: 9781119125457 Publisher: Wiley-IEEE Press |
Optional   | 122.00   |
| Additional Book Comments         |
| This is the complete book list for this class.   |