We present a powerful and innovative statistical framework to address key cosmological
questions about the universe's fundamental properties, performing Bayesian model …

Non-Gaussian statistics of the projected weak lensing field are powerful estimators that can
outperform the constraining power of the two-point functions in inferring cosmological …

Central to model selection is a trade-off between performing a good fit and low model
complexity: A model of higher complexity should only be favoured over a simpler model if it …

This paper investigates Everpresent Λ, a stochastic dark energy model motivated by causal
set theory and unimodular gravity, and confronts it with two key observational data sets …

With the advent of the next generation of astrophysics experiments, the volume of data
available to researchers will be greater than ever. As these projects will significantly drive …

We employ Bayesian Model Averaging (BMA) as a powerful statistical framework to address
key cosmological questions about the universe's fundamental properties. We explore …

Modern cosmological research still thoroughly debates the discrepancy between local
probes and the Cosmic Microwave Background observations in the Hubble constant ($ H_0 …