This short course will provide an overview of non-parametric statistical techniques. The course will first describe what non-parametric statistics are, when they should be used, and their advantages ...

Nonparametric methods form an important core of statistical techniques and are typically used when data do not meet parametric assumptions. Understanding the foundation of these methods, as well as ...

Several new tests are proposed for examining the adequacy of a family of parametric models against large nonparametric alternatives. These tests formally check if the bias vector of residuals from ...

The Annals of Statistics, Vol. 26, No. 4 (Aug., 1998), pp. 1215-1241 (27 pages) We develop a nonparametric Bayes factor for testing the fit of a parametric model. We begin with a nominal parametric ...