Robert Stammer, CFA, is the former director of investor engagement at CFA Institute and writes on thought leadership in the investment management industry. Charlene Rhinehart is a CPA , CFE, chair of ...

A mixture density network (MDN) Layer for Keras using pure Keras 3 operations. This makes it a bit more simple to experiment with neural networks that predict multiple real-valued variables that can ...

Abstract: The estimation of the large and high-dimensional covariance matrix and precision matrix is a fundamental problem in modern multivariate analysis. It has been widely applied in economics, ...

Department of Chemistry, University of California, Berkeley, California 94720, United States Kavli Energy Nanoscience Institute, University of California, Berkeley, California 94720, United States ...

Sex difference (SD) is widespread in humans, though they share the same genome. Single traits are generally studied to explore such differences in humans. But traits do not occur in isolation and ...

Abstract: Data-driven approaches have been widely used in the field of traction system and equipment fault diagnosis. However, limited training samples can cause data-driven models to face the dilemma ...

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...

Divisive normalization is a ubiquitous computation commonly thought to be an implementation of the efficient coding principle. Despite empirical evidence that it reduces statistical redundancy present ...

In this work, we extend to the multivariate case the classical correlation analysis used in the field of network physiology to probe dynamic interactions between organ systems in the human body. To ...

In this study, to power comparison test, different univariate normality testing procedures are compared by using new algorithm. Different univariate and multivariate test are also analyzed here. And ...