logistic_ode(y0=None, timespan=(0.0, 2.0), step=0.1, params=(6.0, 1.0), initrv=None, evlvar=None, ek0_or_ek1=1, order=3, forward_implementation='classic', backward_implementation='classic')¶
Filtering/smoothing setup for a probabilistic ODE solver for the logistic ODE.
This state space model assumes an integrated Brownian motion prior on the dynamics and constructs the ODE likelihood based on the vector field defining the logistic ODE.
Integral) – Order of integration for the Integrated Brownian Motion prior of the solver.
RegressionProblemobject with time points and zero-observations.
statespace_components – Dictionary containing
initial random variable
The initial value problem based on the logistic ODE.