Bayesian inference | Mehdi LATIFhttps://mlatif.fr/en/tag/Bayesian-inference/Bayesian inferenceSource Themes Academic (https://sourcethemes.com/academic/)enMon, 09 Nov 2026 00:00:00 +0100https://mlatif.fr/img/avatar.jpgBayesian inferencehttps://mlatif.fr/en/tag/Bayesian-inference/Towards robust separation of the cosmological 21-cm signal: structured modeling, regularization, and Bayesian inferencehttps://mlatif.fr/en/publication/projet-recherche-mlgpr21cm/Mon, 09 Nov 2026 00:00:00 +0100https://mlatif.fr/en/publication/projet-recherche-mlgpr21cm/<hr> <h2 id="about-this-document">About this document</h2> <p>This <strong>independent research proposal</strong> is based on an analysis of several studies of cosmological 21-cm signal separation using Gaussian process regression (GPR and ML-GPR).</p> <p>It considers two complementary methodological directions: <strong>structured contaminant modeling</strong> and <strong>regularization of learned covariance models</strong>, together with a probabilistic and Bayesian strategy for evaluating the separation.</p> <p><em>Initial version: September 30, 2026. Revised version: November 9, 2026.</em></p>