Fix link to Pluto notebook (#154)

* Fix link to Pluto notebook * Update README.md
devmotion · Jul 7, 2023 · 51309b8 · 51309b8
1 parent 9562772
commit 51309b8
Show file tree

Hide file tree

Showing 2 changed files with 4 additions and 4 deletions.
diff --git a/README.md b/README.md
@@ -47,7 +47,7 @@ statistical hypothesis tests of calibration.
 
 [![Calibration analysis of probabilistic models in Julia](http://img.youtube.com/vi/PrLsXFvwzuA/0.jpg)](http://www.youtube.com/watch?v=PrLsXFvwzuA)
 
-The slides of the talk are available as [Pluto notebook](https://talks.widmann.dev/2021/07/calibration/).
+The slides of the talk are available as [Pluto notebook](https://talks.widmann.dev/2021/07/Calibration/).
 
 ## Citing
 
@@ -63,4 +63,4 @@ Widmann, D., Lindsten, F., & Zachariah, D. (2021).
 
 ## Acknowledgements
 
-This work was financially supported by the Swedish Research Council via the projects *Learning of Large-Scale Probabilistic Dynamical Models* (contract number: 2016-04278), *Counterfactual Prediction Methods for Heterogeneous Populations* (contract number: 2018-05040), and *Handling Uncertainty in Machine Learning Systems* (contract number: 2020-04122), by the Swedish Foundation for Strategic Research via the project *Probabilistic Modeling and Inference for Machine Learning* (contract number: ICA16-0015), by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation, and by ELLIIT.
+This work was financially supported by the Swedish Research Council via the projects *Learning of Large-Scale Probabilistic Dynamical Models* (contract number: 2016-04278), *Counterfactual Prediction Methods for Heterogeneous Populations* (contract number: 2018-05040), and *Handling Uncertainty in Machine Learning Systems* (contract number: 2020-04122), by the Swedish Foundation for Strategic Research via the project *Probabilistic Modeling and Inference for Machine Learning* (contract number: ICA16-0015), by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation, and by ELLIIT.
diff --git a/docs/src/index.md b/docs/src/index.md
@@ -21,7 +21,7 @@ statistical hypothesis tests of calibration.
 </center>
 ```
 
-The slides of the talk are available as [Pluto notebook](https://talks.widmann.dev/2021/07/calibration/).
+The slides of the talk are available as [Pluto notebook](https://talks.widmann.dev/2021/07/Calibration/).
 
 ## Citing
 
@@ -37,4 +37,4 @@ Widmann, D., Lindsten, F., & Zachariah, D. (2021).
 
 ## Acknowledgements
 
-This work was financially supported by the Swedish Research Council via the projects *Learning of Large-Scale Probabilistic Dynamical Models* (contract number: 2016-04278), *Counterfactual Prediction Methods for Heterogeneous Populations* (contract number: 2018-05040), and *Handling Uncertainty in Machine Learning Systems* (contract number: 2020-04122), by the Swedish Foundation for Strategic Research via the project *Probabilistic Modeling and Inference for Machine Learning* (contract number: ICA16-0015), by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation, and by ELLIIT.
+This work was financially supported by the Swedish Research Council via the projects *Learning of Large-Scale Probabilistic Dynamical Models* (contract number: 2016-04278), *Counterfactual Prediction Methods for Heterogeneous Populations* (contract number: 2018-05040), and *Handling Uncertainty in Machine Learning Systems* (contract number: 2020-04122), by the Swedish Foundation for Strategic Research via the project *Probabilistic Modeling and Inference for Machine Learning* (contract number: ICA16-0015), by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation, and by ELLIIT.