- Title
- Bayesian model selection in finite mixtures by marginal density decompositions
- Creators
- Hemant ISHWARAN - Department of Biostatistics and Epidemiology/Wb4, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH 44195, United StatesLancelot F JAMES - Department of Mathematical Sciences, Johns Hopkins University, Baltimore, MD 21218, United StatesJiayang SUN - Department of Statistics, Case Western Reserve University, Cleveland, OH 44106, United States
- Publication Details
- Journal of the American Statistical Association, Vol.96(456), pp.1316-1332
- Publisher
- American Statistical Association
- Academic Unit
- Miller School of Medicine; UMMG Department of Public Health Sciences Research
- Language
- English
- Resource Type
- Journal article
- Record Identifier
- 991031598159102976
Journal article
Bayesian model selection in finite mixtures by marginal density decompositions
Journal of the American Statistical Association, Vol.96(456), pp.1316-1332
2001
Metrics
8 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Citation topics
- 9 Mathematics
- 9.92 Statistical Methods
- 9.92.220 Nonparametric Regression
- Web Of Science research areas
- Statistics & Probability
- ESI research areas
- Mathematics
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites