On-demand

Accurate risk modeling starts with one of the most overlooked steps: selecting the right probability distribution.

Join Rafael Hartke, CEO of Imagine Risks and Analytics, for this session exploring how to identify and apply realistic distributions that best represent uncertainty across different projects and datasets.

You’ll learn:

• How distribution choice impacts model outcomes and decision confidence.
• Methods for interpreting and fitting data to identify realistic probability distributions.
• Practical techniques for implementing these distributions in Predict! and @RISK.
• Why distribution realism is essential for credible, defensible risk analysis.

Watch the other webinars in the Decoding Decision series:

• Fundamentals of Risk Modeling: Monte Carlo and Beyond
• Transforming a Risk Register into a Powerful Decision Engine
• From CRA to Insight with Predict! + @RISK