Correlation doesn’t mean what most people think it means. What most people mean when they say correlation is closer to machine learning than it is to the technical definition of correlation. If you ...

ABSTRACT: The present study aimed to investigate the relationship between metamemory, metacognition, and academic vitality with academic procrastination among students. This research was applied in ...

Objective: This study aims to investigate the association between skeletal muscle mass (SMM) and left ventricular mass (LVM), providing a basis for health management and cardiac health interventions ...

Health Examination Center, Shanghai Health and Medical Center (Huadong Sanatorium), Wuxi, China Objective: This study aimed to explore the diagnostic value of clinical features in the assessment of ...

Abstract: This study combined linear discriminant analysis (LDA) and multivariate logistic regression models to systematically analyze key indicators in flood prediction, aiming to identify factors ...

In this repository, using the statistical software R, are been analyzed robust techniques to estimate multivariate linear regression in presence of outliers, using the Bootstrap, a simulation method ...

or even will it work for multivariate time series where values are mixture of continues and categorical values for example 2 dimensions have continues values and 3 ...

Abstract: Multivariate time series (MTS) regression tasks are common in many real-world data mining applications including finance, cybersecurity, energy, healthcare, prognostics, and many others. Due ...