liesel.goose#

Goose MCMC framework.

Modules

liesel.goose.builder

MCMC engine builder

liesel.goose.chain

MCMC chains

liesel.goose.da

Dual averaging.

liesel.goose.engine

MCMC engine

liesel.goose.epoch

MCMC epochs.

liesel.goose.gibbs

Gibbs sampler.

liesel.goose.hmc

Hamiltonian/Hybrid Monte Carlo (HMC).

liesel.goose.iwls

Iteratively weighted least squares (IWLS) sampler

liesel.goose.iwls_utils

Utilities for the IWLS sampler.

liesel.goose.kernel

Kernel-related info, outcome and mixin classes.

liesel.goose.kernel_sequence

Kernel sequence.

liesel.goose.mh

Metropolis-Hastings.

liesel.goose.mh_kernel

Metroplis Hastings kernel.

liesel.goose.mm

Inverse mass matrix tuner.

liesel.goose.models

Model interfaces.

liesel.goose.nuts

No U-Turn Sampler (NUTS).

liesel.goose.pytree

Pytree utilities.

liesel.goose.rw

Random walk sampler.

liesel.goose.summary_m

Posterior statistics and diagnostics.

liesel.goose.summary_viz

Diagnostic plots of the posterior samples.

liesel.goose.types

Type aliases, type variables and protocols.

liesel.goose.warmup

Standard warmup schemes.