ISSN:
1573-3009
Keywords:
acid deposition
;
Bayesian inference
;
Dirichlet distribution
;
fish response
;
Gibbs sampler
;
lake eutrophication
;
PCB
;
risk assessment
;
salmonid
Source:
Springer Online Journal Archives 1860-2000
Topics:
Energy, Environment Protection, Nuclear Power Engineering
Notes:
Abstract In environmental management, we often have to deal with binary response variables whose outcome dictates the course of action. This paper introduces a nonparametric Bayesian binary regression model with a single predictor variable that is more flexible than the commonly used logistic or probit models. Due to the Bayesian feature, the model can be easily used to combine observed data with our knowledge of the subject to produce site-specific results. By using three examples, this paper shows the potential application of the model in the environmental management, and its advantages in terms of flexibility in model specification, robustness to outliers, and realistic interpretation of data.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1009610913454
Permalink
