| Assignment # | Description | Due Date | Value | Solutions |
|---|---|---|---|---|
| 0 | Review/Foundations. Probability, a little calculus, and R. R part: Distributed via GitHub. |
5 pm, 1/27/2020 | 1 | On GitHub |
| 1 | \(\chi^2\), \(t\), and \(F\) distributions. Maximum likelihood estimation. Note: for this assignment, do the written part before the R part. R part: Distributed via GitHub. |
5 pm, 2/5/2020 | 1 | |
| 2 | Method of moments and numerical approaches to maximum likelihood estimation. Note: for this assignment, do the written part before the R part. R part: Distributed via GitHub. |
5 pm, 2/14/2020 | 1 | |
| 3 | Bias, variance, MSE, and Bayesian inference with conjugate priors. Note: for this assignment, do the written part before the R part. R part: Distributed via GitHub. |
5 pm, 2/26/2020 | 1 | |
| 4 | Monte Carlo integration. Note: for this assignment, do the written part before the R part. R part: Distributed via GitHub. |
5 pm, 3/6/2020 | 1 | |
| 5 | Large sample results. Note: for this assignment, do the written part before the R part. R part: Distributed via GitHub. |
5 pm, 4/14/2020 | 1 | |
| 6 | Large sample results. Note: for this assignment, do the written part before the R part. R part: Distributed via GitHub. |
5 pm, 4/28/2020 | 1 |