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astro-ph.IM2021
Matching Bayesian and frequentist coverage probabilities when using an approximate data covariance matrix
Will J. Percival, Oliver Friedrich, Elena Sellentin +1
Observational astrophysics consists of making inferences about the Universe by comparing data and models. The credible intervals placed on model parameters are often as important a…
astro-ph.IM2017★ 39 cited
Precision matrix expansion - efficient use of numerical simulations in estimating errors on cosmological parameters
Oliver Friedrich, Tim Eifler
Computing the inverse covariance matrix (or precision matrix) of large data vectors is crucial in weak lensing (and multi-probe) analyses of the large scale structure of the univer…