An important challenge in big data is identification of variables. For this purpose, methods discovering variables with non-standard univariate marginal distributions are proposed. The conventional moments based summary statistics can be well-adopted, but their sensitivity to outliers lead selection on a few rather than distributional shape such as bimodality. To address type non-robustness, th...

Least absolute deviation is proposed as a robust estimator to solve the problem when error has an asymmetric heavy-tailed distribution or outliers. In order be insensitive above situation and select truly important variables from large number of predictors in linear regression, this paper introduces two-stage variable selection method named relaxed lad lasso, which enables model obtain sparse s...

A review of the authors’ research works on Variable-Angle Spectroscopy (VASE) graphene-based films is presented. The interaction graphene oxide (GO) with magnetron-sputtered metals a promising area. VASE optical models GO thin deposited titanium (Ti), silver (Ag) and gold (Au) are discussed. Moreover, properties nanoplatelet (GNPS) reduced (RGO) stabilized Poly(Sodium 4-Styrenesulfonate) (PSS) ...

Documents go through numerous transformations and intermediate formats as they are processed from abstract markup into final printable form. This notion of a document workflow is well established but it is common to find that ideas about document components, which might exist in the source code for the document, become completely lost within an amorphous, unstructured, page of PDF prior to bein...