Low Information Omnibus (LIO) priors for dirichlet process mixture models Bayesian Analysis 2019;14(3):677-702
Date
01/01/2019DOI
10.1214/18-BA1119Scopus ID
2-s2.0-85069995277 (requires institutional sign-in at Scopus site) 8 CitationsAuthor List
Shi Y, Martens M, Banerjee A, Laud PAuthors
Anjishnu Banerjee PhD Associate Professor in the Data Science Institute department at Medical College of WisconsinPurushottam W. Laud PhD Adjunct Professor in the Data Science Institute department at Medical College of Wisconsin
Michael Martens PhD Assistant Professor in the Data Science Institute department at Medical College of Wisconsin