Univariate Bayesian nonparametric binary regression with application in environmental management

In environmental management, we often have to deal with binary response var iables whose outcome dictates the course of action. This paper introduces a nonparametric Bayesian binary regression model with a single predictor var iable that is more flexible than the commonly used logistic or probit model s. Due to the Bayesian feature, the model can be easily used to combine obs erved data with our knowledge of the subject to produce site-specific resul ts. By using three examples, this paper shows the potential application of the model in the environmental management, and its advantages in terms of f lexibility in model specification, robustness to outliers, and realistic in terpretation of data.