statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults¶
- class statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults(model, simulation_smoother, random_state=None)[source]¶
Results from applying the Kalman smoother and/or filter to a state space model.
- Parameters:
model (Representation) – A Statespace representation
simulation_smoother ({{prefix}}SimulationSmoother object) – The Cython simulation smoother object with which to simulation smooth.
random_state ({None, int, Generator, RandomState}, optional) – If seed is None (or np.random), the numpy.random.RandomState singleton is used. If seed is an int, a new
numpy.random.RandomStateinstance is used, seeded with seed. If seed is already anumpy.random.Generatorornumpy.random.RandomStateinstance then that instance is used.
- model¶
A Statespace representation
- Type:
- dtype¶
Datatype of representation matrices
- Type:
dtype
- simulate_disturbance¶
Flag for if the state and observation disturbances are included in simulation output.
- Type:
- generated_measurement_disturbance¶
Measurement disturbance variates used to genereate the observation vector.
- Type:
ndarray
- generated_state_disturbance¶
State disturbance variates used to genereate the state and observation vectors.
- Type:
ndarray
- generated_obs¶
Generated observation vector produced as a byproduct of simulation smoothing.
- Type:
ndarray
- generated_state¶
Generated state vector produced as a byproduct of simulation smoothing.
- Type:
ndarray
- simulated_state¶
Simulated state.
- Type:
ndarray
- simulated_measurement_disturbance¶
Simulated measurement disturbance.
- Type:
ndarray
- simulated_state_disturbance¶
Simulated state disturbance.
- Type:
ndarray
Methods
simulate([simulation_output, ...])Perform simulation smoothing
Properties
Randomly drawn measurement disturbance variates
Generated vector of observations by iterating on the observation and transition equations, given a random initial state draw and random disturbance draws.
Generated vector of states by iterating on the transition equation, given a random initial state draw and random disturbance draws.
Randomly drawn state disturbance variates, used to construct generated_state and generated_obs.
Random draw of the measurement disturbance vector from its conditional distribution.
Random draw of the state vector from its conditional distribution.
Random draw of the state disturbanc e vector from its conditional distribution.