SkillsCast

Risk Analysis: Experience vs Data

javascript risk-modelling inference insurance stan r bayesian small-data-sets risk-analysis bigdata quants

9th May 2018 in London at CodeNode

This SkillsCast was filmed at Risk Analysis: Experience vs Data

How can we asses risks with small data sets? One of the challenges in insurance is that despite having many customers, insurance companies often have only small amounts of claims data with which they can assess risks.

Markus Gesmann will present some Bayesian ideas to analyse risks with little, or even no event data.

We will touch on ideas from Daniel Kahneman and David Spiegelhalter and play around with Bayesian Belief Networks, hierarchal models and Stan.

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