jesterTOV.inference.base module

Base classes for inference components.

Base Classes

likelihood.LikelihoodBase()	Base class for likelihoods.
prior.Prior(parameter_names)	Base class for JESTER prior distributions.
prior.UniformPrior(xmin, xmax, parameter_names)	Uniform prior distribution over [xmin, xmax].
prior.MultivariateGaussianPrior(parameter_names)	Multivariate Gaussian prior \(\mathcal{N}(\mu, \Sigma)\).
prior.Fixed(value, parameter_names)	A parameter fixed to a constant value, excluded from the sampling space.
prior.CombinePrior(priors)	A prior class constructed by joining multiple priors together to form a multivariate prior.
prior.SequentialTransformPrior(base_prior, ...)	Transform a prior distribution by applying a sequence of transforms.
prior.LogisticDistribution(parameter_names, ...)	Logistic distribution prior.
transform.NtoMTransform(name_mapping)	N-to-M parameter transform (not necessarily invertible).
transform.BijectiveTransform(name_mapping)	Bijective (invertible) N-to-N parameter transform with Jacobian corrections.