Lab # Description Due Date Value Solutions
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