Prior

class dysmalpy.parameters.Prior[source]

Bases: object

Base class for priors

Methods Summary

`log_prior`(args, *kwargs)	Returns the log value of the prior given the parameter value
`prior_unit_transform`(args, *kwargs)	Map a uniform random variable drawn from [0.,1.] to the prior of interest
`sample_prior`(args, *kwargs)	Returns a random sample of parameter values distributed according to the prior

Methods Documentation

abstract log_prior(*args, **kwargs)[source]: Returns the log value of the prior given the parameter value

abstract prior_unit_transform(*args, **kwargs)[source]: Map a uniform random variable drawn from [0.,1.] to the prior of interest

abstract sample_prior(*args, **kwargs)[source]: Returns a random sample of parameter values distributed according to the prior