Model uncertainty and health effect studies for particulate matter

Environmetrics

Volumn 11, Issue 6, 2000, Pages 745-763

  Clyde, Merlise ^a  

^a DUKE UNIVERSITY   (United States)

Author keywords

AIC; Bayesian model averaging; BIC; Jeffrey's prior; Model selection; Noninformative priors; PM10; Poisson regression; RIC

Indexed keywords

ATMOSPHERIC MODELING; BAYESIAN ANALYSIS; HEALTH RISK; PARTICULATE MATTER; UNCERTAINTY ANALYSIS;

UNITED STATES;

EID: 0034541856     PISSN: 11804009     EISSN: None     Source Type: Journal    
DOI: 10.1002/1099-095X(200011/12)11:6<745::AID-ENV431>3.0.CO;2-N     Document Type: Article

References (27)

1. Information theory and an extension of the maximum likelihood
2. A new look at the Bayes procedure
3. Bayesian model averaging and model search strategies
4. Assessment and propagation of model uncertainty (with discussion)
5. The risk inflation criterion for multiple regression
6. Approaches for Bayesian variable selection
7. Uncertainty, policy analysis, and statistics
8. Bayesian model averaging: A tutorial
9. Bayes factors
10. Approximate Bayes factors and accounting for model uncertainty in generalized linear models
11. Air pollution and daily mortality in Birmingham, Alabama
12. Estimating the dimension of a model
13. Bayes factors for linear and loglinear models with vague prior information
14. Accurate approximations for posterior moments and marginal densities
15. A critique of the Bayesian information criterion for model selection