Further Topics
15. Conformal Prediction
Machine Learning for Econometricians
Background
1. Information Theory
2. Cross Validation
3. Evaluating Predictive Distributions
4. Optimization for Machine Learning
Neural Networks
5. Feed-Forward Neural Networks
6. Recurrent Neural Networks
7. LSTM Networks
8. Empirical Exercise: Networks for Time Series
9. Distribution Modeling with Neural Networks
Tree-Based Methods
10. Decision Trees
11. Random Forests
12. Gradient Boosting
13. Advanced Tree-Based Methods
Further Topics
14. (Advanced) Hyperparameter Optimization
15. Conformal Prediction
16. Reinforcement Learning
On this page
15
Conformal Prediction
Further Topics
15. Conformal Prediction
15
Conformal Prediction
For exercises, please see the lecture slides.
14. (Advanced) Hyperparameter Optimization
16. Reinforcement Learning