Abstract | Introduction | Hazard rate estimation | Markov beta and gamma prior processes | Gamma Process | Beta Process | Prior to posterior analysis | Beta process | Cox-gamma model | Gamma model examples | Example 1. Independence case. Unitary length intervals} | Example 2. Introducing dependence through c. Unitary length intervals | Example 3. Varying c through a distribution. Unitary length intervals | Example 4. Using a hierarchical model to estimate c. Unitary intervals | Example 5. Introducing dependence through c. Equally dense intervals | Example 6. Varying c through a distribution. Equally dense intervals | Example 7. Using a hierarchical model to estimate c. Equally dense intervals | Beta model examples | Example 1. Independence case | Example 2. Introducing dependence through c | Example 3. Varying c through a distribution | Example 4. Using a hierarchical model to estimate c | Cox-gamma model example

Initial setup | Gibbs Sampler | Summaries | Tables | Plots