Code and Results for Chapter 11:

Introduction:
These are results and code for the problems and examples found in Chapter 11 of this famous book.

1. prob_11_1.m (random samples from the von Mises distribution)
   
2. prob_11_2.m (random samples from the beta distribution)
   
3. prob_11_3.m (random samples from the gamma distribution)
   
4. prob_11_4.m (generating standard normal random variates)
   
5. prob_11_5.m (using the Gibbs sampler)
   
6. prob_11_6.m (higher dimensional Metropolis-Hasting sampling)
   
7. prob_11_7.m (generating samples from a complicated density)
   
8. prob_11_8.m (more Gibbs sampling)
   
9. prob_11_9.m (simulating Bayesian learning)
   
10. prob_11_11.m (the random walk Metropolis-Hasting sampler)
    
11. prob_11_12.m (more random walk Metropolis-Hasting sampling)
    
12. prob_11_13.m (generating samples from the log-normal distribution)