Lecture notes

Lecture notes, exercises and copies of the slides will be added when the course starts.

Bayesian statistics

• Slides
• Exercises

Network analysis

• Slides
• Exercises

Neural networks and deep learning

• Slides - lecture 1, lecture 2, lecture 3, lecture 4, and lecture 5
• Exercises part 1, part 2, part 3, and part4

PCA, PLS, PLS-DA, sparse PCA/PLS

• Slides on PCA, PLS, Slides on PLS-DA, and Sparse PCA/PLS, and the extension
• Code from the lecture
• Exercises

Textbook

We will be using Computer Age Statistical Inference: Algorithms, Evidence, and Data Science as the textbook for the course. A pdf-version of book can be downloaded directly from the author’s webpage.

The book is highly recommended and covers more material than we are using throughout the course. See the notes for information about material for the individual topics.

---

Claus Ekstrøm 2023