Random walk is one of two optional Bayesian smoothing prior methods that can
be selected and used in the model definition with EpiStrainDynamics. The
random walk is a stochastic process that describes a path of a series of
random steps on a mathematical space, and each next step's direction only
depends on the current position, not the previous path. No additional
arguments must be supplied to define the random walk method.
See also
Other method:
p_spline()
