Nonparametric and parametric methods of spectral analysis

Bayesian Nonparametric and Parametric Inference

This paper reviews Bayesian Nonparametric methods and discusses how parametric predictive densities can be constructed using nonparametric ideas.

Evaluation of Seed Yield Stability of Promising Sesame Lines using Different Parametric and Nonparametric Methods

Analysis of genotype by environment interaction using different statistical methods is very important in plant breeding. In order to evaluate the seed yield stability of promising sesame lines using different parametric and non-parametric statistics, an experiment was conducted using 13 promising sesame lines with check variety Oltan at three locations of Karaj, Mashhad, and Moghan (Iran) in a ...

Nonlinear Time Series: Nonparametric and Parametric Methods

Spectral Methods for Nonparametric Models

Nonparametric models are versatile, albeit computationally expensive, tool for modeling mixture models. In this paper, we introduce spectral methods for the two most popular nonparametric models: the Indian Buffet Process (IBP) and the Hierarchical Dirichlet Process (HDP). We show that using spectral methods for the inference of nonparametric models are computationally and statistically efficie...

A Comparative Study Of Parametric And Nonparametric Regressions