{"id":"W2920804790","doi":"10.1214/20-ba1221","title":"Rank-Normalization, Folding, and Localization: An Improved Rˆ for Assessing Convergence of MCMC (with Discussion)","year":2020,"lang":"en","type":"article","venue":"Bayesian Analysis","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":1511,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Markov chain Monte Carlo; Convergence (economics); Monte Carlo method; Bayesian probability; Variance (accounting); Markov chain; TRACE (psycholinguistics); Rank (graph theory)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04196391283684291,"score_gpt":0.3385584988034436,"score_spread":0.2965945859666007,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}