Abstract: Function approximation by artificial neural networks (ANNs) are often carried out via a collocation grid approach. However, for certain combinations of grids and functions, the training data ...

Learn to create a yield curve in Excel and understand its implications for interest rate forecasting. Follow our simple guide ...

Introduction: It is well-established that lowering low-density lipoprotein cholesterol (LDL-C) levels is associated with cardiovascular risk reduction, with clinical benefits increasing over time; ...

Python implementation of a toolkit for researchers studying electoral polarization. Features ideological and affective polarization analysis, issue salience modeling, and comprehensive statistical ...

We propose a new framework that addresses endogenous regressors using a novel conditional copula endogeneity model to capture the regressor-error dependence ...

Department of Computer Science, Metropolitan College, Boston University, Boston, MA, United States On the other hand, using MAD offers a direct measure of deviation and is more resilient to outliers.

Abstract: Contrastive graph clustering (CGC) has become a prominent method for self-supervised representation learning by contrasting augmented graph data pairs. However, the performance of CGC ...

Introduction: This article introduces a new family of weighted mixture distributions, referred to as θ-WM. The θ-WM family is generated by combining two distributions weighted by a parameter θ, ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, Virginia 23529, United States Department of Physical and Macromolecular Chemistry, Charles University, Hlavova 2030, 128 40 ...