2 papers
astro-ph.IM2025
Addressing prior dependence in hierarchical Bayesian modeling for PTA data analysis I: Methodology and implementation
Luigi D'amico, Eleonora Villa, Fatima Modica Bittordo +4
Complex inference tasks, such as those encountered in Pulsar Timing Array (PTA) data analysis, rely on Bayesian frameworks. The high-dimensional parameter space and the strong inte…
astro-ph.IM2025
Improving Bayesian inference in PTA data analysis: importance nested sampling with Normalizing Flows
Eleonora Villa, Golam Mohiuddin Shaifullah, Andrea Possenti +1
We present a detailed study of Bayesian inference workflows for pulsar timing array data with a focus on enhancing efficiency, robustness and speed through the use of normalizing f…