448 citations · 3.7k across the 53 of their papers we have counts for
4 papers · 1 filter
Quantifying Suspiciousness Within Correlated Data Sets
Pablo Lemos, Fabian Köhlinger, Will Handley +3
We propose a principled Bayesian method for quantifying tension between correlated datasets with wide uninformative parameter priors. This is achieved by extending the Suspiciousne…
The Impact of Peculiar Velocities on the Estimation of the Hubble Constant from Gravitational Wave Standard Sirens
Constantina Nicolaou, Ofer Lahav, Pablo Lemos +2
In this work we investigate the systematic uncertainties that arise from the calculation of the peculiar velocity when estimating the Hubble constant () from gravitational wav…
Quantifying dimensionality: Bayesian cosmological model complexities
Will Handley, Pablo Lemos
We demonstrate a measure for the effective number of parameters constrained by a posterior distribution in the context of cosmology. In the same way that the mean of the Shannon in…
Quantifying tensions in cosmological parameters: Interpreting the DES evidence ratio
Will Handley, Pablo Lemos
We provide a new interpretation for the Bayes factor combination used in the Dark Energy Survey (DES) first year analysis to quantify the tension between the DES and Planck dataset…