Abstract: In this paper, signal denoising using multiwavelet based on multivariate GARCH model is presented where the multivariate GARCH modeling captures in addition to the correlations among the ...

Local influence diagnostics for elliptical multilevel models are proposed in this paper. This class of models involves the use of continuous symmetric distributions ...

Here we examine to what extent that fast response and slow feedback derived from time-mean results of climate model simulations can be used to infer total climate change. To achieve this goal, we ...

Abstract: This paper presents a new approach to discriminative modeling for classification and labeling. Our method, called boosting on multilevel aggregates (BMA), adds a new class of hierarchical, ...

Factors with p <0.05 in the multivariate analysis were considered as evaluation indices in the malignant thyroid nodules model. The regression coefficient (β value) for each factor was rounded to the ...