Fix a few typos (#810)

probabilistic-numerics · Mar 27, 2023 · 01bba27 · 01bba27
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diff --git a/docs/source/tutorials/filtsmooth/continuous_linear_gaussian_filtering_smoothing.ipynb b/docs/source/tutorials/filtsmooth/continuous_linear_gaussian_filtering_smoothing.ipynb
@@ -179,7 +179,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "As above, the measurement model is discrete, LTI Gaussian. Only the dymanics are continuous (i.e. continuous-discrete)."
+    "As above, the measurement model is discrete, LTI Gaussian. Only the dynamics are continuous (i.e. continuous-discrete)."
    ]
   },
   {

diff --git a/src/probnum/randvars/_random_variable.py b/src/probnum/randvars/_random_variable.py
@@ -72,7 +72,7 @@ class RandomVariable(Generic[ValueType]):
         and potentially by similar functions in subclasses.
 
         For instance, this method is useful if (``log``)
-        :meth:`~ContinousRandomVariable.cdf` and (``log``)
+        :meth:`~ContinuousRandomVariable.cdf` and (``log``)
         :meth:`~ContinuousRandomVariable.pdf` both only work on :class:`numpy.float_`
         arguments, but we still want the user to be able to pass Python
         :class:`float`. Then :meth:`~RandomVariable.as_value_type`

diff --git a/src/probnum/typing.py b/src/probnum/typing.py
@@ -4,7 +4,7 @@
 different kinds, API types and argument types.
 
 **API types** (``*Type``) are aliases which define custom types
-used throughout the library. Objects ofthis type may be supplied as arguments
+used throughout the library. Objects of this type may be supplied as arguments
 or returned by a method.
 
 **Argument types** (``*Like``) are aliases which define commonly used method