Implement and test kernel density estimation and bivariate smoothing spline with bandwidth selection, comparing results to R’s built-in functions.
Implement and compare rejection sampling and importance sampling algorithms for specific probability distributions.
Implement and compare EM algorithms for the t-distribution and its mixtures.
Implement and compare stochastic optimization algorithms for logistic regression smoothing or log-logistic dose-response curves.
