Frequently Asked Questions Your Questions Answered
What is Bayesian calibration?
Bayesian calibration is a method for updating risk models as new data arrives. It adapts model parameters based on observed evidence, not just historical trends.
How is the program structured?
Our program uses a modular structure. It starts with foundational concepts, then progresses to advanced calibration and scenario testing in multi asset contexts.
What are the technical requirements?
A laptop with a current browser and basic data analysis tools is sufficient. For advanced modules, statistical software and internet access are recommended.