HW1: Linear congruential generator.
HW2: Approximating cov(U, exp(U)), with U~unif(0, 1).
HW3: Inverse-CDF method.
HW4: Discrete inverse-CDF; Insurance claim problem.
HW5: Randomization test.
HW6: Maximum likelihood estimation.
HW7: EM algorithm.
HW9: Gibbs sampling.
Project 1: Assessing the inear congruential generator.
Project 2: Double bootstrap for confidence interval of mean.
Project 3: Randomization test for difference in means.
Project 4: EM algorithm on mixture of normals.