one likelihood

Likelihoods that evaluates to 1. Useful to explore priors and to compute prior volumes – see Computing Bayes ratios.

Usage

Simply copy this block in your input yaml file and modify whatever options you want (you can delete the rest).

# Constant (unit) likelihood

# 1. artificial delay in lik computation
delay: 0  # seconds
# Noise (to aide computation of flat prior volume)
noise:  # set to a small number, necessarily smaller than 1/volume

one likelihood class

Synopsis:Unit likelihood: always outputs \(0 = \log(1)\).
Author:Jesus Torrado
class likelihoods.one.one(info=mappingproxy({}), name=None, timing=None, packages_path=None, initialize=True, standalone=True)

Likelihood that evaluates to 1.

initialize()

Initializes the class (called from __init__, before other initializations).