We will construct maximum likelihood estimators (MLEs) for one and two parameter examples and functions of parameters using the invariance property of MLEs. In this module we will explore large sample ...

The Multi-source Probabilistic Inference (MUPI) research group studies ... in particular for setups with limited amount of training examples. The group operates at the Department of Computer Science, ...

which will ask them to explain key Bayesian concepts (e.g., the “weight of evidence”) in their own words and apply them to concrete examples (e.g. use Bayes’ rule to derive an inference from several ...