Code and Results for Chapter 8:

Introduction:
These are results and code for the problems and examples found in Chapter 8 of this famous book.

1. prob_8_3.m (the bias-variance trade off)
   
2. prob_8_4.m (the normal reference rule Part I)
   
3. norm_ref_rule_hist.m (constructs a PDF histogram using the normal reference rule)
   
4. norm_ref_rule_w_skew_hist.m (constructs a PDF histogram using the normal reference rule and skew adjustment)
   
5. prob_8_5_no_skew.m (the normal reference rule on a skewed distribution)
   
6. prob_8_5_with_skew.m (the normal reference rule with skew on a skewed distribution)
   
7. prob_8_6.m (various bin widths)
   
8. prob_8_7.m (the Freedman-Diaconis rule v.s. Sturges rule)
   
9. prob_8_10.m (two-dimensional frequency polygons)
   
10. prob_8_11.m (evaluating kernel density estimates)
    
11. prob_8_14.m (adaptive density modeling)
    
12. prob_8_17.m (experiments with the EM algorithm)
    
13. prob_8_21.m (density estimation with the forearm data)
    
14. prob_8_22.m (density estimation with the elderly data)
    
15. prob_8_23.m (density estimation with the nfl data)