
# Commands to apply a Gaussian process model to the simple regression problem
# with outliers, using a t-distribution with 4 df for the noise.

gp-spec olog.gpt 1 1 1 - 0.001 / 0.05:0.5 0.05:0.5
model-spec olog.gpt real 0.05:0.5::4

data-spec olog.gpt 1 1 / odata@1:100 . odata@101:200 .

gp-gen olog.gpt fix 0.5 0.1
mc-spec olog.gpt sample-variances heatbath hybrid 20:4 0.5
gp-mc olog.gpt 200
