Jitter-based method for Hubble function reconstruction
The application of noncanonical statistical methods in cosmology have gained popularity lately, in particular as a way to independently assess the tensions in the standard cosmological model. In line with this, we introduce 'jitter reconstruction' (JR) as a means of taking into consideration the uncertainties in the data set, and apply this to test the robustness of standard curve-fitting together with mock expansion rate samples. Using this method, we reconstructed the Hubble function and compared this with the result from the more commonly-used Gaussian processes method. We present fair conclusions regarding the size of the resulting uncertainties, but also discuss the limitations anchored on the present work.