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---
title: "Tutorials for Statistical Theory and Methods, 7.5 hp"
format: html
---
<img src="misc/mixture_mosaic5.png" alt="AI generated image of a mixture distribution" class="center" width="100%"/>
Tutorials for the STM course
- **Maximum likelihood by numerical optimization** [html](tutorial/numericalML/numericalML.qmd) | [quarto](https://github.com/StatisticsSU/STM/raw/main/tutorial/numericalML/numericalML.qmd)
Some other tutorials that may be interesting, but are **not part of the course**:
- **Bootstrap** [html](tutorial/bootstrap/bootstrap.qmd) | [quarto](https://github.com/StatisticsSU/STM/raw/main/tutorial/bootstrap/bootstrap.qmd)
- **State-space models** [html](tutorial/statespace/statespace.qmd) | [quarto](https://github.com/StatisticsSU/STM/raw/main/tutorial/statespace/statespace.qmd) (Not used in the course, but pretty cool)