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 ...

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, ...

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 ...

Plasma Foci are pulsed coaxial discharges with numerous radiation applications and interesting scientific phenomena. Although the physics answered much of the processes involved in these discharges, ...

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 ...

Abstract: We develop and apply a Bayesian linear regression technique for few-shot performance modeling of silicon photonic devices under process variation. The key contribution is to leverage ...

Let's compare Bayesian and frequentist inference with a coin toss example. An example, mind you, calling into question a repeated experiments interpretation of probability... Regardless of paradigm, ...

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 ...