spey.backends.distributions.MainModel

class spey.backends.distributions.MainModel(loc: Callable[[ndarray], ndarray], cov: ndarray | None = None, pdf_type: Literal['poiss', 'gauss', 'multivariategauss'] = 'poiss')

Main statistical model, modelled as Poisson distribution which has a variable lambda.

Parameters:

loc (Callable[[np.ndarray], np.ndarray]) – callable function that represents lambda values of poisson distribution. It takes nuisance parameters as input.

__init__(loc: Callable[[ndarray], ndarray], cov: ndarray | None = None, pdf_type: Literal['poiss', 'gauss', 'multivariategauss'] = 'poiss')

Methods

__init__(loc[, cov, pdf_type])
expected_data(pars)	The expectation value of the main model.
log_prob(pars, data)	Compute log-probability
sample(pars, sample_size)	Generate samples

Attributes

pdf_type

Type of the PDF