Bayesian Nonparametric Binary
نویسندگان
چکیده
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 that is more exible 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-speciic results. By using three examples, this paper shows the potential application of the model in the environmental management, and its advantages in terms of exibility in model speciication, robustness to outliers, and realistic interpretation of data.
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