Researchers developed a Bayesian Gated Recurrent Unit architecture that dynamically scales trading capital using uncertainty ...

A rigorous comparative meta-analysis demonstrates that childhood blood lead exposure consistently lowers cognitive scores ...

Researchers must often choose between Bayesian or neural network models of behavior, two paradigms with complementary strengths and weaknesses. An ideal paradigm would facilitate testing many kinds of ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Lily Mara explains how to avoid high-risk ...

Artificial intelligence can solve problems at remarkable speed, but it's the people developing the algorithms who are truly driving discovery. At The University of Texas at Arlington, data scientists ...

Researchers explore AI's role in scientific modeling, from historical breakthroughs to modern Bayesian frameworks like ModelSMC.

Bayesian modelling portfolio: price elasticity, MCMC, HMMs, GMM/EM, segment conversion, and a deployed Bayesian model with drift monitoring - sdiazricagno/bayesian-modelling ...