Tutorials:

• Using a chain
• Example of creating and running a Metropolis-Hastings Sampler
  • Create the model to sample
  • Setup and run the sampler
  • Extract results
  • Resume from a state
  • Clearing memory and continuing
  • Plot the posterior
  • Create an animation of the results
• Example of creating and running a Parallel Tempered Sampler
  • Create the model to sample
  • Setup and run the sampler
  • Extract results
  • Resume from a state
  • Clearing memory and continuing
  • Plot acceptance rates
  • Plot temperature swaps
  • Plot the posterior
  • Create an animation of the results
• Use the Veitch et al. Adaptive Normal proposal with the Parallel Tempered Sampler
  • Create the model to sample
  • Setup the proposal
  • Setup and run the sampler
  • Plot acceptance rates
  • Resume from a state
  • Clearing memory and continuing
  • Plot the posterior
• The Angular proposal
  • 1D Test
  • Comparison to Normal proposal: 1D
  • Timing comparison
  • 2D test
  • With adaptation (Veitch et al. algorithm)
  • 1D test
  • 2D test
• The AT Adaptive Normal proposal
  • Create the model to sample
  • Setup and run the sampler
  • Extract results
  • Plot the rolling mean acceptance ratio
  • Plot the posterior