In this work one developed a Bayesian approach to predict the amount of mineralized nitrogen through nonlinear models. The nonlinear models considered to evaluate the mineralization of organic nitrogen and to illustrate the Bayesian procedure were: models of Cabrera, Marion, Stanford and Smith. The comparison of the models was promoted through the Bayes Factor (FB) and Bayes Information Criterion (BIC). Inference on the parameters was carried out through the Gibbs Sampling and Metropolis Hastings. The model that provided better adjustment quality to the group of data was Cabrera's model (1993), followed by the model of Stanford & Smith (1972) and the last one by Marion et al. (1981).
Nitrogen mineralization; Nonlinear models; Bayesian inference
