Modeling the Hotel Tax Revenue in Central Lombok using Nonparametric Regression

Modeling Phosphorus Trapping in Wetlands Using Nonparametric Bayesian Regression

Phosphorus-enriched agricultural runo from the Everglades Agriculture Area is believed to have caused ecological changes in the northern part of the Everglades wetlands. A number of e orts have been made to assess the e ectiveness of using constructed wetlands as a means of phosphorus removal from the agricultural runo . The objective of this study is to develop a predictive model for the total...

Nonparametric Regression

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Bayesian Nonparametric Modeling in Quantile Regression

We propose Bayesian nonparametric methodology for quantile regression modeling. In particular, we develop Dirichlet process mixture models for the error distribution in an additive quantile regression formulation. The proposed nonparametric prior probability models allow the data to drive the shape of the error density and thus provide more reliable predictive inference than models based on par...

Tax revenue mobilisation in Ethiopia

Bayesian Nonparametric Modeling for Multivariate Ordinal Regression

Univariate or multivariate ordinal responses are often assumed to arise from a latent continuous parametric distribution, with covariate effects which enter linearly. We introduce a Bayesian nonparametric modeling approach for univariate and multivariate ordinal regression, which is based on mixture modeling for the joint distribution of latent responses and covariates. The modeling framework e...