This quarter, we will discuss advanced
Bayesian techniques such as hierarchical models and approaches to
segmenting sequential data.
Meeting times: Mondays 2:00-2:50pm
Location: EE1 031
This is a one credit seminar. Each student is expected to read the papers and join the discussions. Students interested in presenting one of the papers, can get up to three credits. Please email me if you have any questions.
Mailing List
We will assume that all students are on the mailing list, and that you read your email regularly.
The schedule is still very tentative.
| Mar. 31 | Dieter Fox | Overview and organization | |
Bayesian Data Analysis |
|||
| Apr. 7 | Dirk Schulz | Chapter 1,2: Singleparameter Models | |
| Apr. 14 | David Grimes | Chapter 3: Multiparameter Models | |
| Apr. 21 | Aaron Shon | Chapter 4: Large-sample inference and comparison | |
| Apr. 28 | Ben Stewart | Chapter 5: Hierarchical Models | |
| May. 5 | Jonathan Ko | Chapter 6: Model Checking | |