gcfit.probabilities.priors.GaussianPrior

class gcfit.probabilities.priors.GaussianPrior(param, mu, sigma, *, transform=False)

1D Gaussian normal prior function.

Represents a Gaussian prior likelihood distribution, defined by a mean μ and width σ.

Parameters:

paramstr

Name of the corresponding parameter.

mufloat

Distribution mean.

sigmafloat

Distribution width/standard deviation.

transformbool, optional

Whether this is a prior likelihood or a prior transform function. Changes whether the distribution PDF or PPF is evaluated upon calling.

See also

scipy.stats.norm

Distribution class used for pdf/ppf evaluation.

Methods

__init__(param, mu, sigma, *[, transform])

Attributes

dependants
inv_mssg
inv_value
param