3 papers
stat.CO2026
A thermodynamic approach to Approximate Bayesian Computation with multiple summary statistics
Carlo Albert, Simone Ulzega, Simon Dirmeier +3
Bayesian inference with stochastic models is often difficult because their likelihood functions involve high-dimensional integrals. Approximate Bayesian Computation (ABC) avoids ev…
cs.LG2026
Simulation-based Inference with the Python Package sbijax
Simon Dirmeier, Antonietta Mira, Carlo Albert
Neural simulation-based inference (SBI) describes an emerging family of methods for Bayesian inference with intractable likelihood functions that use neural networks as surrogate m…
astro-ph.SR2025
Modeling Decadal and Centennial Solar UV Irradiance Changes
Raffaele Reda, Valentina Penza, Serena Criscuoli +5
Reconstructions of solar spectral irradiance - especially in the ultraviolet (UV) range - are crucial for understanding Earth's climate system. Although total solar irradiance (TSI…