2 papers
stat.ME2026
Sampling as Bandits: Evaluation-Efficient Design for Black-Box Densities
Takuo Matsubara, Andrew Duncan, Simon Cotter +1
We propose bandit importance sampling (BIS), a powerful importance sampling framework tailored for settings in which evaluating the target density is computationally expensive. BIS…
stat.AP2025
Exploring natural variation in tendon constitutive parameters via Bayesian data selection and mixed effects models
James Casey, Jessica Forsyth, Timothy Waite +2
Combining microstructural mechanical models with experimental data enhances our understanding of the mechanics of soft tissue, such as tendons. In previous work, a Bayesian framewo…