[**Ledger Data Science Team Releases BayesBlend**](https://www.ledgerinvesting.com/news/ledger-data-science-team-releases-bayesblend#undefined)

Ledger Investing is proud to announce the release of BayesBlend, an innovative open-source model averaging library developed by our very own Nathaniel Haines and Conor Goold.

At Ledger, we use BayesBlend to combine predictions from multiple mathematical models, where each model reflects a unique hypothesis about how casualty insurance portfolios will perform into the future. This "data-driven hedging" gives us a better view than any given model in isolation. We continue to develop cutting edge analytics and commit to publishing our work to make it available to you.

Check out [BayesBlend](https://arxiv.org/abs/2405.00158) and see how it can enhance your data science projects: [GitHub Link](https://github.com/LedgerInvesting/bayesblend/).

More on Ledger’s modeling approach [here](https://www.ledgerinvesting.com/insurance-library).