| 0 |
2-Jan |
|
Getting Ready for STATS 115 |
|
|
|
|
|
| 1 |
5-Jan |
Lec |
Introduction to STATS Introduction to STATS 115 and Bayesian Statistics7 and Data |
|
|
|
|
|
| 1 |
7-Jan |
Lec |
Bayes’ Rule for Events |
|
|
|
|
|
| 1 |
7-Jan |
Dis |
Posterior Simulation for Events |
|
|
|
|
|
| 1 |
12-Jan |
Hw |
Bayes’ Rule for Events |
|
|
|
|
|
| 2 |
12-Jan |
Lec |
Bayes’ Rule for Random Variables |
|
|
|
|
|
| 2 |
14-Jan |
Lec |
Beta Binomial Model |
|
|
|
|
|
| 2 |
14-Jan |
Dis |
Beta Binomial Model |
|
|
|
|
|
| 2 |
21-Jan |
Hw |
Bayes’ Rule for Random Variables and Beta Binomial Model |
|
|
|
|
|
| 3 |
19-Jan |
Lec |
No Class, Martin Luther King, Jr. Day |
|
|
|
|
|
| 3 |
21-Jan |
Lec |
Balance and Sequentiality |
|
|
|
|
|
| 3 |
21-Jan |
Dis |
Balance and Sequentiality |
|
|
|
|
|
| 3 |
26-Jan |
Hw |
Balance and Sequentiality |
|
|
|
|
|
| 4 |
26-Jan |
Lec |
Gamma-Poisson Model |
|
|
|
|
|
| 4 |
28-Jan |
Lec |
Normal-Normal Model |
|
|
|
|
|
| 4 |
28-Jan |
Dis |
Conjugate Families |
|
|
|
|
|
| 4 |
2-Feb |
Hw |
Conjugate Families |
|
|
|
|
|
| 5 |
2-Feb |
Lec |
Posterior Approximation |
|
|
|
|
|
| 5 |
4-Feb |
Lec |
MCMC Under the Hood |
|
|
|
|
|
| 5 |
4-Feb |
Dis |
Grid Approcimation and Metropolis-Hastings |
|
|
|
|
|
| 6 |
9-Feb |
Lec |
Posterior Inference and Prediction |
|
|
|
|
|
| 6 |
11-Feb |
Lec |
Midterm in class |
|
|
|
|
|
| 6 |
11-Feb |
Dis |
Solutions to midterm |
|
|
|
|
|
| 6 |
16-Feb |
Hw |
Posterior Inference and Prediction |
|
|
|
|
|
| 7 |
16-Feb |
Lec |
No Class, Presidents’ Day |
|
|
|
|
|
| 7 |
18-Feb |
Lec |
Simple Normal Regression |
|
|
|
|
|
| 7 |
18-Feb |
Dis |
Simple Normal Regression |
|
|
|
|
|
| 7 |
24-Feb |
Hw |
Simple Normal Regression |
|
|
|
|
|