Tutorials

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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