In this chapter, we examine the modelling of operational loss data, which can be applied in the modelling of internal loss data (ILD) and external data (ED).

New technologies are permitting larger scale and more quantitative studies of signalling networks. The large data sets that are obtained from these studies can be analysed by data-driven modelling ...

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

Marginal models for multivariate binary data permit separate modelling of the relationship of the response with explanatory variables, and the association between pairs of responses. When the former ...

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 ...

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 ...

Mathias W. Tobler, Alfonso Zúñiga Hartley, Samia E. Carrillo-Percastegui, George V. N. Powell, Spatiotemporal hierarchical modelling of species richness and occupancy using camera trap data, Journal ...

Dan Petrie: Being a slave to data modelling is unhealthy Data modelling around Covid, climate and economic shocks, house-price collapse and sharemarket crashes has mostly been wrong for decades ...