The extremes of birth weight and preterm birth are known to result in a host of adverse outcomes, yet studies to date largely have used cross-sectional designs and variable-centered methods to understand long-term sequelae. Growth mixture modeling (GMM) that utilizes an integrated person- and variable-centered approach was applied to identify latent classes of achievement from a cohort of schoo...

Individuals with Major Depressive Disorder (MDD) vary regarding the rate, magnitude and stability of symptom changes during antidepressant treatment. Growth mixture modeling (GMM) can be used to identify patterns of change in symptom severity over time. Quantitative electroencephalographic (QEEG) cordance within the first week of treatment has been associated with endpoint clinical outcomes but...

BACKGROUND Alzheimer's disease (AD) is associated with variable cognitive and functional decline, and it is difficult to predict who will develop the disease and how they will progress. OBJECTIVE This exploratory study aimed to define latent classes from participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database who had similar growth patterns of both cognitive and functi...

Today export diversification has become one of the most important economic objectives of development strategies in the developing countries. For various reasons, such as preventing instability in export prices of primary products in global markets, reducing fluctuations in exchanges of them compared with industrial goods, producing dynamic benefits resulted from exporting various goods and incr...

Language recognition with support vector machines and shifteddelta cepstral features has been an excellent performer in NISTsponsored language evaluation for many years. A novel improvement of this method has been the introduction of hybrid SVM/GMM systems. These systems use GMM supervectors as an SVM expansion for classification. In prior work, methods for scoring SVM/GMM systems have been int...

This paper examines the effect of foreign direct investment through economic activities on environmental quality Nigerian economy by using annual data from 1981 to 2020. Our estimation simultaneous equation model was done system GMM where we estimate scale, technique and composition effects investment. results reveal that improves scale damages effects. The contribution physical human capital b...

This paper aims to analyse the statistical significance of MFIs’ and banks’ performance on economic development through a GMM panel analysis between 1999 2016. Our main contributions previous literature are twofold. Firstly, we consider greater variety indicators capture different aspects performance. Secondly, besides traditional channels transmission such as investment human capital, account ...

Gaussian mixture models (GMMs) have proven extremely successful for textindependent speaker verification. The standard training method for GMM models is to use MAP adaptation of the means of the mixture components based on speech from a target speaker. In this work we look into the various models (GMM-UBM and GMM-SVM) and their application to speaker verification. In this paper, features vector...