Bayesian power spectral density estimation for LISA noise based on penalized splines with a parametric boostJanuary 1, 2026·Nazeela Aimen,Patricio Maturana-Russel,Avi Vajpeyi,Nelson Christensen,Renate Meyer· 0 min read arXiv Cite Preprint DOIpublicationLast updated on January 1, 2026General Relativity and Quantum Cosmology (Gr-Qc) Instrumentation and Methods for Astrophysics (Astro-Ph.IM) Computational Physics (Physics.comp-Ph) Computation (Stat.CO) FOS: Physical Sciences FOS: Computer and Information Sciences ← Enhancing evidence estimation through informed probability density approximation April 1, 2026Analysis of GWTC-3 with fully precessing numerical relativity surrogate models August 1, 2025 →