Example of a fully Bayesian forecast performed using an Evidence Network. This code also replicates the analysis of Gessey-Jones et al. (2024). This repository thus serves the dual purposes of ...
This file tries to take aspects of the Bayesian workflow paper by Gelman and colleagues and apply them to an example scenario in experimental psychology / cognitive neuroscience. The workflow that I ...
In 2004, Skilling introduced the nested sampling algorithm 1,2 in the context of Bayesian inference and computation (Box 1). The nested sampling algorithm solves otherwise challenging, ...
The Bayesian brain hypothesis is one of the most influential ideas in neuroscience. However, unstated differences in how Bayesian ideas are operationalized make it difficult to draw general ...
In an article recently submitted to the ArXiV* server, researchers delved into the limitations of Expected Improvement (EI) in Bayesian optimization. They introduced LogEI, a novel family of ...
Imagine a scenario where a team of doctors faces a perplexing medical puzzle. A patient shows a range of symptoms, each pointing to multiple possible diseases. How can they navigate this diagnostic ...
Saltwater intrusion has become one of the most concerning issues in the Vietnamese Mekong Delta (VMD) due to its increasing impacts on agriculture and food security of Vietnam. Reliable estimation of ...
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