# Tutorials

[Section in process…]

In this section there are some examples and tutorials about the use of `SimpleMC`

. In some cases, such as those for maxlike, CosmoCalc and Bayesian inference, among others, there are useful notebooks to better understand how `SimpleMC`

works.

- Cosmological calculator
- Set a prior probability density function
- How to create a new model
- How to use an external dataset?
- Bayesian inference
- Maximum Likelihood Estimation (MLE) with optimizer
- MLE with genetic algorithms
- Model comparison with Bayesian evidence
- Plot the outputs
- Toy models
- Speed-up Bayesian inference with neural networks