323 citations · 2.1k across the 45 of their papers we have counts for
5 papers · 1 filter
PROSPECT: A profile likelihood code for frequentist cosmological parameter inference
Emil Brinch Holm, Andreas Nygaard, Jeppe Dakin +2
Cosmological parameter inference has been dominated by the Bayesian approach for the past two decades, primarily due to its computational efficiency. However, the Bayesian approach…
Bayesian and frequentist investigation of prior effects in EFTofLSS analyses of full-shape BOSS and eBOSS data
Emil Brinch Holm, Laura Herold, Théo Simon +4
Previous studies based on Bayesian methods have shown that the constraints on cosmological parameters from the Baryonic Oscillation Spectroscopic Survey (BOSS) full-shape data usin…
Fast and effortless computation of profile likelihoods using CONNECT
Andreas Nygaard, Emil Brinch Holm, Steen Hannestad +1
The frequentist method of profile likelihoods has recently received renewed attention in the field of cosmology. This is because the results of inferences based on the latter may d…
Decaying Dark Matter and the Hubble Tension
Andreas Nygaard, Emil Brinch Holm, Thomas Tram +1
Decaying dark matter models generically modify the equation of state around the time of dark matter decay, and this in turn modifies the expansion rate of the Universe through the…
Profiling Cold New Early Dark Energy
Juan S. Cruz, Steen Hannestad, Emil Brinch Holm +3
Recent interest in New Early Dark Energy (NEDE), a cosmological model with a vacuum energy component decaying in a triggered phase transition around recombination, has been sparked…