Constrained Gaussian-process bridge prior for neutron-star equation-of-state inference
This paper introduces a novel, model-agnostic method using constrained Gaussian-process bridges to generate stable, causal, and thermodynamically consistent nonparametric priors for neutron-star equation-of-state inference, enabling the flexible integration of diverse theoretical constraints without requiring iterative shooting.