BayesianVARMAX
==============

.. currentmodule:: pymc_experimental.statespace.models

.. autoclass:: BayesianVARMAX

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~BayesianVARMAX.__init__
      ~BayesianVARMAX.add_default_priors
      ~BayesianVARMAX.add_exogenous
      ~BayesianVARMAX.build_statespace_graph
      ~BayesianVARMAX.forecast
      ~BayesianVARMAX.impulse_response_function
      ~BayesianVARMAX.make_and_register_data
      ~BayesianVARMAX.make_and_register_variable
      ~BayesianVARMAX.make_symbolic_graph
      ~BayesianVARMAX.sample_conditional_posterior
      ~BayesianVARMAX.sample_conditional_prior
      ~BayesianVARMAX.sample_unconditional_posterior
      ~BayesianVARMAX.sample_unconditional_prior
      ~BayesianVARMAX.unpack_statespace
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~BayesianVARMAX.coords
      ~BayesianVARMAX.data_info
      ~BayesianVARMAX.data_names
      ~BayesianVARMAX.default_priors
      ~BayesianVARMAX.observed_states
      ~BayesianVARMAX.param_dims
      ~BayesianVARMAX.param_info
      ~BayesianVARMAX.param_names
      ~BayesianVARMAX.shock_names
      ~BayesianVARMAX.state_names