text:   of Fit Evaluation and Multiple Sample Comparison",8,"['New paper with Teemu Säilynoja and @paulbuerkner \n""Graphical Test for Discrete Uniformity and its Applications in Goodness of Fit Evaluation and Multiple Sample Comparison""\n<LINK> <LINK>', ""We've recently had papers like simulation based calibration and new Rhat paper with rank plots, which involve looking at the uniformity of rank statistics. Thinking more, we realized that histograms are suboptimal and ECDF envelopes we used were based on continuous uniformity."", 'The motivation was not uniformity testing for itself, but this paper belongs to a series of papers on improving diagnostics of diagnostics. The graphical aspect is also important to provide useful information about the shape of discrepancy away from the assumed uniformity.', ""Histograms 1) loose information by binning, 2) the choice of bins affect the result, 3) the confidence band doesn't take into account the dependency. ECDF and ECDF difference plots don't have these problems and thus would be better. https://t.co/KbT5VQAvNG"", ""The simultaneous confidence band for ECDF (and ECDF difference) doesn't have closed form solution and naive simulation based approach can be very slow. Aldor-Noiman et al proposed more efficient simulation based approach for continuous uniform case."", 'In SBC and MCMC rank plots, the rank statistics are discrete. The rank statistics are also equivalent to probability integral transformation (PIT) using ECDF. We present how we can construct the confidence bands that are correct both in continuous and discrete case. https://t.co/TmfkE5iBd1', 'We propose a new optimization based approach for simultaneous confidence band which is much more efficient than Aldor-Noiman simulation approach. We also extend the apporach to comparing rank statistics of multiple samples such as arising from different Markov chains. https://t.co/AbdCjVczxJ', ""The code is available at https://t.co/WzP6ltmbn4\n\nThis is Teemu's first paper and I'm very happy with the outcome!""]",21,03,1874