Functional Posterior Plotter
Project description
These packages allows one to compute a predictive posterior of a function, dependent on sampled parameters. We assume one has a Bayesian posterior Post(theta|D,M) described by a set of posterior samples {theta_i}~Post. If there is a a function parameterised by theta f(x;theta), then this script will produce a contour plot of the conditional posterior P(f|x,D,M) in the (x,f) plane.
The driving routine is fgivenx.compute_contours, and example usage can be found by running help(fgivenx).
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