Find out more about available formats and browse any associated online resources. Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoretical and applied ...

Bayesianism is enjoying a revival across many fields, and it offers a powerful tool for improving inference and analytic transparency in qualitative research. This course introduces basic principles ...

Integrated Inferences develops a framework for using causal models and Bayesian updating for qualitative and mixed-methods research. By making, updating, and querying causal models, researchers are ...

The Multi-source Probabilistic Inference (MUPI) research group studies statistical machine learning and artificial intelligence. We develop new methods and algorithms for coping with uncertainty in ...

The research themes of the Department cover machine learning and algorithms, computer networks and distributed systems ... and surrogate models can be trained to drastically reduce the costs of ...