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| The MCMC Procedure |
- Simulating Samples From a Known Density
- Box-Cox Transformation
- Generalized Linear Models
- Nonlinear Poisson Regression Models
- Random-Effects Models
- Change Point Models
- Exponential and Weibull Survival Analysis
- Cox Models
- Normal Regression with Interval Censoring
- Constrained Analysis
- Implement a New Sampling Algorithm
- Using a Transformation to Improve Mixing
- Gelman-Rubin Diagnostics
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