diff --git a/docs/src/parameter_estimation.md b/docs/src/parameter_estimation.md
index b3ea0aff..8129cbb5 100644
--- a/docs/src/parameter_estimation.md
+++ b/docs/src/parameter_estimation.md
@@ -406,8 +406,15 @@ Dict{Nemo.fmpq_mpoly, Bool} with 15 entries:
indicating that we can not hope to resolve all of the parameters. However, using appropriate regularization from prior information, we might still recover a lot of information about the system. Regularization could easily be added to the function `cost` above, e.g., using a penalty like `(p-p_guess)'Γ*(p-p_guess)` for some matrix ``\Gamma``, to indicate our confidence in the initial guess.
-## Video
-An example of parameter estimation by using an optimizer to optimize the likelihood of an [`UnscentedKalmanFilter`](@ref) is available here
+## Videos
+Examples of parameter estimation are available here
+
+By using an optimizer to optimize the likelihood of an [`UnscentedKalmanFilter`](@ref):
```@raw html
+```
+
+Estimation of time-varying parameters:
+```@raw html
+
```
\ No newline at end of file