| 1 |
R foundations, \(\chi^2\), \(t\), and \(F\) |
1/27/2020 |
1 |
https://github.com/mhc-stat343-s2020/lab01-solutions |
| 2 |
Maximum likelihood estimation |
2/7/2020 |
1 |
https://github.com/mhc-stat343-s2020/lab02-solutions |
| 3 |
Newton’s method for optimization |
2/7/2020 |
1 |
https://github.com/mhc-stat343-s2020/lab03-solutions |
| 4 |
Numerical optimization with Stan |
2/14/2020 |
1 |
https://github.com/mhc-stat343-s2020/lab04-solutions |
| 5 |
Bias, variance, and MSE |
NA |
0 |
https://github.com/mhc-stat343-s2020/lab05-solutions |
| 6 |
Posterior distribution exploration with M&M’s |
2/21/2020 |
1 |
https://github.com/mhc-stat343-s2020/lab06-solutions |
| 7 |
We skipped this because we didn’t have time |
NA |
0 |
|
| 8 |
Monte Carlo integration |
3/6/2020 |
1 |
https://github.com/mhc-stat343-s2020/lab08-solutions |
| 9 |
MCMC with Stan |
3/6/2020 |
1 |
https://github.com/mhc-stat343-s2020/lab09-solutions |
| 10 |
Large n approximation to sampling distribution of the MLE. |
3/13/2020 |
1 |
https://github.com/mhc-stat343-s2020/lab10-solutions |
| 11 |
Large n approximation to the posterior distribution in a Bayesian analysis. |
4/3/2020 |
1 |
https://github.com/mhc-stat343-s2020/lab11-solutions |
| 12 |
Confidence interval for variance of a normal distribution. |
4/9/2020 |
1 |
https://github.com/mhc-stat343-s2020/lab12-solutions |
| 13 |
Large sample approximate confidence intervals |
4/10/2020 |
1 |
https://github.com/mhc-stat343-s2020/lab13-solutions |
| 14 |
Bootstrap t confidence intervals |
4/17/2020 |
1 |
https://github.com/mhc-stat343-s2020/lab14-solutions |
| 15 |
Likelihood ratio tests |
4/22/2020 |
1 |
https://github.com/mhc-stat343-s2020/lab15-solutions |