49 citations · 112 across the 13 of their papers we have counts for
4 papers · 1 filter
Fast and efficient nested sampling with BEST
Andreas Nygaard
Nested sampling is widely used for Bayesian evidence computation, but its intrinsically sequential structure limits how efficiently it can exploit modern vectorised likelihoods and…
Posterior sampling in the Age of Emulators
Andreas Nygaard, Luca Janken, Steen Hannestad +1
We investigate posterior sampling strategies for cosmological parameter inference using fully differentiable neural-network likelihood emulators, which provide both rapid likelihoo…
CosmoSlider: An educational tool for cosmology
Andreas Nygaard, Steen Hannestad, Thomas Tram
Understanding how cosmological parameters influence the cosmic microwave background (CMB) power spectra is a central component of modern cosmology education, but interactive explor…
CONNECT: A neural network based framework for emulating cosmological observables and cosmological parameter inference
Andreas Nygaard, Emil Brinch Holm, Steen Hannestad +1
Bayesian parameter inference is an essential tool in modern cosmology, and typically requires the calculation of -- theoretical models for each inference of model param…