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