Bayesian statistics in contemporary data science signify a paradigm revolution in probabilistic argumentation that provides ...

We develop new methods and algorithms for coping with uncertainty in artificial intelligence, focusing in particular on approximate Bayesian inference of probabilistic programs. We also solve ...

The research themes of the Department cover machine learning and algorithms, computer networks and distributed systems ... particularly in approximate Bayesian inference and/or probabilistic machine ...

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 ...