Statistics

Artificial Intelligence and Statistics: The Mathematical Shortcut That Makes Simulations Up to 100 Times Faster

A new algorithm developed by Giacomo Zanella and Sebastiano Grazzi makes it possible to truly harness parallel computing, accelerating one of the most widely used tools in scientific research, from epidemiology to precision medicine

Beyond Symmetry in Bayesian Posterior Approximations

New Bocconi research develops a general method to improve deterministic posterior approximations in Bayesian inference

The Algorithm That Doesn’t Slow Down

A discovery that allows Bayesian models to scale up without losing efficiency

A New Theory to Investigate the Hidden Links Between Phenomena

Research by Borgonovo, Savaré, and colleagues reinterprets a wide variety of statistical methods to form a more coherent mathematical theory of dependence

A New Statistical Model to Infer Complex Structures in Multilayer Networks

From organized crime to neuroscience, a model that combines mathematical rigor and probabilistic coherence to study the formation and evolution of multilayer networks

Can We Trust Complex Statistical Models?

A new method improves the reliability and speed of predictions in large-scale data analysis