This is my first column as Chair of the Statistical Computing Section, but alas, it is not my first tour of duty. Imagine if you will, a time when a well-groomed statistician could be sighted wearing bell-bottom trousers and a zipper-front shirt, perched atop 3 inch platform shoes. These fashion statements are so old that they are now back – so it goes with my tenure as Chair. And as before, I ...

It has been generally accepted that the retina is the first level that plays critical role in the function of color constancy in human visual system. In this paper we propose a computational model which imitates the neural mechanisms of color information processing in retina. In this model we first compute a simple statistics of reflectance about the real scene by simulating bipolar cells. Then...

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introduction: appropriate definition of the distance measure between diffusion tensors has a deep impact on diffusion tensor image (dti) segmentation results. the geodesic metric is the best distance measure since it yields high-quality segmentation results. however, the important problem with the geodesic metric is a high computational cost of the algorithms based on it. the main goal of this ...

This the author’s version of a work that was accepted for publication in Computational Statistics & Data Analysis. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive ...

RFreak is an R package providing a framework for evolutionary computation. By enwrapping the functionality of an evolutionary algorithm kit written in Java, it offers an easy way to do evolutionary computation in R. In addition, application examples where an evolutionary approach is promising in computational statistics are included and described in this paper. The package is thus further suppo...

Income modeling is crucial in determining workers’ earnings and an important research topic labor economics. Traditional regressions based on normal distributions are statistical models widely applied. However, income data have asymmetric behavior best modeled by non-normal distributions. The objective of this work to propose parametric quantile two distributions: Dagum Singh–Maddala. proposed ...