fix: documentation

Author: zhenyuen

stonesoup/models/base.py

@@ -436,8 +436,7 @@ def num_samples(self) -> int:
 
 class LevyModel(Model):
     """
-    Class to be derived from for Levy models.
-    For now, we consider only conditionally Gaussian ones
+    Class to be derived from for conditionally Gaussian Levy models.
     """
 
     driver: Union[ConditionallyGaussianDriver, GaussianDriver] = Property(

stonesoup/models/base_driver.py

@@ -51,7 +51,9 @@ def characteristic_func():
 class ConditionallyGaussianDriver(LevyDriver):
     """Conditional Gaussian Levy noise driver.
 
-    Noise samples are generated according to the Levy State-Space Model by Godsill et al.
+    Noise samples are generated according to the Levy State-Space Model, which are Gaussian
+    when conditioned on latent variables in the form of jump times and sizes. The
+    latent variables may be non-Gaussian.
     """
 
     c: np.double = Property(doc="Truncation parameter, expected no. jumps per unit time.")

stonesoup/models/transition/base.py

@@ -145,7 +145,7 @@ def covar(self, **kwargs):
 class CombinedLevyTransitionModel(TransitionModel, LevyModel):
     r"""Combine multiple models into a single model by stacking them.
 
-    The assumption is that all models are Gaussian.
+    The assumption is that all models are conditionally Gaussian Levy.
     Time Variant, and Time Invariant models can be combined together.
     If any of the models are time variant the keyword argument "time_interval"
     must be supplied to all methods