Quality data is accurate, complete, consistent, and relevant to the risk factors you're assessing. In risk modelling, quality data might include up-to-date credit scores, income information ...

This article proposes a new method for analysing panel data based on modelling heterogeneity of individuals or entities as a regime-switching process. There are several advantages to this approach.

This publication was produced as part of the Working Group 4 of the IAEA Modelling and Data for Radiological Impact Assessments (MODARIA) programme, which focused on the analysis of radioecological ...

Snowflake went public this week, and in a mark of the wider ecosystem that is evolving around data warehousing, a startup that has built a completely new concept for modelling warehoused data is ...

Ulf Schepsmeier, Claudia Czado, Dependence modelling with regular vine copula models: a case-study for car crash simulation data, Journal of the Royal Statistical Society. Series C (Applied Statistics ...

Aon’s head of catastrophe insight explains the role data science plays in climate modelling and quantifying natural disaster risk.