WinBUGS   - Code examples -

 

1       Normal distribution

l  Both mean and variance are unknown. (Section 4.2) Code (file) Output

l  Unknown variance (with known mean). (Section 3.2) Code (file) Output

l  Comparing two populations. Code (file) Output

2       Binomial distribution

l  Beta prior (Section 2.4) Code (file) Output

l  Discrete prior (Section 2.3) Code (file) Output

3       Poisson distribution (Section 3.3)

l  Hospital A Code (file) Output

l  Hospital B Code (file) Output

4       Multinomial distribution (Section 4.3)

l  2008 presidential election poll: Code (file) Output

5       Grouped Data (Section 6.7-6.8)

l  Using multinomial distribution Code (file) Output

l  Using I(,) function Code (file) Output

6       Cauchy Distribution (Section 6.9)

l  Mixture representation Code (file) Output

l  0fs trick Code (file) Output

l  1fs trick Code (file) Output

7       Heart Transplant Data (Section 6.10)

l  Using 0fs trick Code (file) Output

l  Using 1fs trick Code (file) Output

8       Hierarchical models

l  Common mortality (Section 7.4) Code (file) Output

l  Heterogeneous mortalities (Section 7.5-7.10) Code (file) Output

l  Heterogeneous mortalities using 0fs trick for the prior (Section 7.5-7.10) Code (file) Output

9       Regression example

l  Regression model (Section 9.2) Code (file) Output

l  Survival model (Section 9.4) Code (file) Output

l  Robust regression using mixture representation (Section 11.5) Code (file) Output

l  Robust regression using t-density with df>=2 (Section 11.5) Code (file) Output

10    Probit model (Section 10.3)  Code (file) Output

11    Logit model (Section 11.6) Code (file) Output

12    Table of Means (Sections 10.4.3-10.4.4) Code (file) Output

13    Change point model (Section 11.4) Code (file) Output

14    Ordered Probit model  Code (file) Output

15    Ordered Logit model Code (file) Output

16    Multinomial Logit model Code (file) Output

17    Tobit model (Type I Tobit)

l  Using 0es trick Code (file) Output

18    Sample Selection model (Type II Tobit) Code (file) Output

19    Stochastic volatility model

l  Without leverage ( = symmetric SV model): Code (file) Output@

l  With leverage ( = asymmetric SV model): Code (file) Output

# If there are multiple datasets, repeat gload datah step for each dataset as many times as needed.