Universitas Syiah Kuala’s Department of Statistics Hosts Academic Training on Bayesian Statistics with Prof. Fabrizio Ruggeri 

On Tuesday, 9 September 2025, the Department of Statistics at Universitas Syiah Kuala hosted an advanced academic training session on Bayesian Statistics led by the esteemed Professor Fabrizio Ruggeri. The program attracted academic lecturers and researchers eager to expand their knowledge and application of Bayesian methods in both theoretical and practical contexts.

The training covered a broad range of topics essential to mastering Bayesian analysis. Participants explored Bayesian robustness, learning techniques that help ensure statistical conclusions remain reliable even when assumptions vary. The session also delved into stochastic orders, which are crucial tools for comparing random variables and making decisions under uncertainty. Attendees examined distortion functions and distortion bands of priors, which are methods for adjusting prior beliefs to better reflect uncertainty. The course introduced various metrics designed to measure uncertainty in Bayesian inference, providing valuable insight into the reliability of statistical results. The training further addressed the multivariate case, extending Bayesian approaches to analyze multiple variables simultaneously, as well as the interaction between likelihood functions and distortion functions in Bayesian modeling.

One particularly engaging aspect of the training was the introduction of Bayesian applications aimed at high school students, demonstrating how Bayesian approaches can be used to find the best way to allocate school resources and optimize the use of school wealth. This innovative example highlighted the practical potential of Bayesian statistics beyond academia.