Note: This is a tentative schedule. The exam dates are set but
the rest (slides, homework assignments etc. ) will be posted as we go along.
|
|
|
In Class |
After Class |
|
| Week |
Date |
Lesson |
Objectives |
Quizzes |
Slides |
Handouts |
Code |
Homework |
Exams |
| 1 |
Mon, Jan 6 |
Introduction to Bayesian Statistics |
|
|
|
|
|
|
|
|
Wed, Jan 8 |
Bayes' Rule for Events and Discrete Random Variables |
|
|
|
|
|
|
|
|
Wed, Jan 8 |
Simulating the Posterior |
|
|
|
|
|
|
|
| 2 |
Mon, Jan 13 |
The Beta Prior Model |
|
|
|
|
|
|
|
|
Wed, Jan 15 |
The Beta-Binomial Model |
|
|
|
|
|
|
|
|
Wed, Jan 15 |
Keeping R tidy |
|
|
|
|
|
|
|
| 3 |
Mon, Jan 20 |
No class - Dr. Martin Luther King, Jr. Day |
|
Wed, Jan 22 |
Balance and Sequentiality in Bayes |
|
|
|
|
|
|
|
|
Wed, Jan 22 |
Data Visualization Review |
|
|
|
|
|
|
|
| 4 |
Mon, Jan 27 |
Conjugate Family Part I (Gamma-Poisson) |
|
|
|
|
|
|
|
|
Wed, Jan 29 |
Review |
|
|
|
|
|
|
|
| 5 |
Mon, Feb 3 |
Conjugate Family Part II (Normal-Normal) |
|
|
|
|
|
|
|
|
Wed, Feb 5 |
Grid Approximation |
|
|
|
|
|
|
|
|
Wed, Feb 5 |
Midterm Review |
|
|
|
|
|
|
|
| 6 |
Mon. Feb 10 |
Midterm |
|
|
|
|
|
|
|
|
Wed, Feb 12 |
Markov Chain Monte Carlo |
|
|
|
|
|
|
|
|
Wed, Feb 12 |
Meeting with a Bayesian Data Scientist |
|
|
|
|
|
|
|
| 7 |
Mon, Feb 17 |
No class - Presidents' Day |
|
Wed, Feb 19 |
Posterior Inference |
|
|
|
|
|
|
|
|
Wed, Feb 19 |
Metropolis-Hastings Algorithm Practice |
|
|
|
|
|
|
|
| 8 |
Mon, Feb 24 |
Simple Normal Regression |
|
|
|
|
|
|
|
|
Wed, Feb 26 |
Simple Normal Regression Part II |
|
|
|
|
|
|
|
|
Wed, Feb 26 |
Posterior Predictive Measures |
|
|
|
|
|
|
|
| 9 |
Mon, Mar 2 |
Logistic Regression |
|
|
|
|
|
|
|
|
Wed, Mar 4 |
Comparison of Estimators |
|
|
|
|
|
|
|
|
Wed, Mar 4 |
Final Take-Home Group Project |
|
|
|
|
|
|
|
| 10 |
Mon, Mar 9 |
|
|
|
|
|
|
|
|
|
Wed, Mar 11 |
Take-Home Final Presentations |
|
|
|
|
|
|
|
| 11 |
Wed, Mar 18, 8:00 - 10:00 am, Final Exam |
|