{"id":"W4237780050","doi":"10.2307/1390653","title":"Markov Chain Sampling Methods for Dirichlet Process Mixture Models","year":2000,"lang":"en","type":"article","venue":"Journal of Computational and Graphical Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":508,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dirichlet process; Markov chain; Mathematics; Dirichlet distribution; Sampling (signal processing); Slice sampling; Markov chain Monte Carlo; Hierarchical Dirichlet process; Computer science; Markov renewal process; Applied mathematics; Statistics; Econometrics; Statistical physics; Markov model; Variable-order Markov model; Bayesian probability; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02605654607133213,"score_gpt":0.3550975326748263,"score_spread":0.3290409866034942,"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."}}