bilby

2.3

Contents:

Installation
Acknowledging/Citing Bilby
Code overview
Examples
Basics of parameter estimation
Priors
Likelihood
Sampling
Dynesty Guide
Bilby MCMC Guide
Plugins
Bilby output
Compact binary coalescence parameter estimation
Transient gravitational wave data I/O
Transient Gravitational wave priors
Transient gravitational wave reference information
Writing documentation
Hyper-parameters
Using Containers
Contributing to bilby
Frequently Asked Questions

Examples:

Prior Distributions with Bilby
Compare samplers
Fitting a model to data with both x and y errors with Bilby
Visualising the results

API:

bilby.core
bilby.gw
bilby.hyper
- bilby.hyper.likelihood
  - bilby.hyper.likelihood.HyperparameterLikelihood
- bilby.hyper.model
bilby.bilby_mcmc

bilby

bilby.hyper
bilby.hyper.likelihood
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bilby.hyper.likelihood

Classes

HyperparameterLikelihood(posteriors, hyper_prior)

A likelihood for inferring hyperparameter posterior distributions

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© Copyright 2019, Greg Ashton.

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