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COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys
A. Spurio Mancini, D. Piras, J. Alsing +2
We present , a suite of neural cosmological power spectrum emulators providing orders-of-magnitude acceleration for parameter estimation from two-point statistics…
Bayesian evidence for the tensor-to-scalar ratio and neutrino masses : Effects of uniform vs logarithmic priors
Lukas T. Hergt, Will J. Handley, Michael P. Hobson +1
We review the effect that the choice of a uniform or logarithmic prior has on the Bayesian evidence and hence on Bayesian model comparisons when data provide only a one-sided bound…
Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism
Davide Piras, Alessio Spurio Mancini, Ana M. G. Ferreira +2
Bayesian inference applied to microseismic activity monitoring allows the accurate location of microseismic events from recorded seismograms and the estimation of the associated un…