Maximum Likelihood Estimation Examples
These notebooks illustrate the use of the Inference Model alternatives to create a model for inference, and the MLE class to perform maximum likelihood estimation of the parameters of that model. Recall that a maximum likelihood estimate is simply the parameter vector that maximizes the likelihood:
\[\theta_{ML} = argmax_{\theta} \quad p(data \vert \theta)\]
