Examples

• 1D kernel basics
  • Initialise the GPtide object and sample from the prior
  • Make a prediction at new points
  • Make a prediction of the full conditional distribution at new points
• 1D parameter estimation using maximum likelihood estimation
  • Generate some data
  • Inference
• 1D parameter estimation using MCMC
  • Generate some data
  • Inference
  • Find sample with highest log prob
  • Posterior density plot
  • Posterior corner plot
  • Condition and make predictions
• 1D parameter estimation using MCMC: kernel multplication
  • Generate some data
  • Inference
  • Find sample with highest log prob
  • Posterior density plot
  • Posterior corner plot
  • Condition and make predictions
• 2D parameter estimation using MCMC
  • Generate some data
  • Inference
  • Find sample with highest log prob
  • Posterior density plot
  • Posterior corner plot
  • Condition and make predictions