@@ -127,24 +127,17 @@ def rng_fn(
127127class GaussianRandomWalk (distribution .Continuous ):
128128 r"""Random Walk with Normal innovations
129129
130-
131- Notes
132- -----
133- init is currently drawn from a Normal distribution with the same sigma as the innovations
134-
135130 Parameters
136131 ----------
137- mu: tensor_like of float
132+ mu : tensor_like of float
138133 innovation drift, defaults to 0.0
139- sigma: tensor_like of float, optional
140- sigma > 0, innovation standard deviation, defaults to 0.0
141- init: Scalar PyMC distribution
142- Scalar distribution of the initial value, created with the `.dist()` API. Defaults to
143- Normal with same `mu` and `sigma` as the GaussianRandomWalk
144- steps: int
145- Number of steps in Gaussian Random Walks
146- size: int
147- Number of independent Gaussian Random Walks
134+ sigma : tensor_like of float, optional
135+ sigma > 0, innovation standard deviation, defaults to 1.0
136+ init : Univariate PyMC distribution
137+ Univariate distribution of the initial value, created with the `.dist()` API.
138+ Defaults to Normal with same `mu` and `sigma` as the GaussianRandomWalk
139+ steps : int
140+ Number of steps in Gaussian Random Walks (steps > 0).
148141 """
149142
150143 rv_op = gaussianrandomwalk
0 commit comments