Implement the Gibbs Sampling algorithm (6.3) for estimating parameters with incomplete data. The missing Cooper & Herskovits computations can be filled in by copying the Lisp function for them on the bookWeb site, or by skipping forward and implementing Equation (9.3) from Chapter 8. Try your algorithm out using some of the data sets with missing values from the book Web site and report the results.
How many sampling steps are needed to get good estimates of the parameters in the different cases? How do you know when you have a good estimate for a parameter?