jesterTOV.inference.priors module

Prior specification and parsing for Bayesian inference.

Prior Classes

Prior distributions are defined in the jesterTOV.inference.base.prior module and used when writing .prior files for inference runs.

UniformPrior(xmin, xmax, parameter_names)	Uniform prior distribution over [xmin, xmax].
MultivariateGaussianPrior(parameter_names[, ...])	Multivariate Gaussian prior \(\mathcal{N}(\mu, \Sigma)\).
Fixed(value, parameter_names)	A parameter fixed to a constant value, excluded from the sampling space.
CombinePrior(priors)	A prior class constructed by joining multiple priors together to form a multivariate prior.
Prior(parameter_names)	Base class for JESTER prior distributions.

Parser Functions

parser.parse_prior_file(prior_file[, ...])	Parse .prior file (Python format) and return a ParsedPrior.
parser.ParsedPrior(prior, fixed_params)	Result of parsing a .prior file.