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stat.ME2024
Hierarchical inference of evidence using posterior samples
Stefano Rinaldi, Gabriele Demasi, Walter Del Pozzo +1
The Bayesian evidence, crucial ingredient for model selection, is arguably the most important quantity in Bayesian data analysis: at the same time, however, it is also one of the m…
stat.ME2021★ 8 cited
Maximum Entropy Spectral Analysis: an application to gravitational waves data analysis
Alessandro Martini, Stefano Schmidt, Gregory Ashton +1
The Maximum Entropy Spectral Analysis (MESA) method, developed by Burg, offers a powerful tool for spectral estimation of a time-series. It relies on Jaynes' maximum entropy princi…