PerturbationDSGEPosterior#

cultivars.multivariate.structural.perturbation.PerturbationDSGEPosterior[source]#: alias of _PerturbationDSGEPosterior

Attributes#

`data`
`parameter_names`
`theta_draws`
`loglik_draws`
`log_posterior_draws`
`acceptance_rate`
`order`
`n_particles`
`nobs`
`n_draws`
`n_burn`
`thin`
`n_kept`	Posterior draws retained.
`params`	The posterior mean by name.
`solution`	The perturbation solution at the posterior mean.
`state_space`	The solution at the posterior mean on its substrate.
`theta_mean`	The posterior mean.

`convergence`(*chains[, include, exclude, ...])	Assess the sampler's convergence over the retained draws.
`impulse_responses`(*[, horizon, size, ...])	Posterior draws of the responses.
`marginal_likelihood`(*[, tau])	Geweke's modified harmonic mean of the log marginal likelihood.
`simulate`([n, seed, burn, draw])	A fresh sample of the observables at the posterior mean or at one kept draw.
`summary`()	The estimation summary, renderable as text, HTML, or a dataframe.