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Abstract: Fusing probabilistic information is a fundamental task in signal and data processing with relevance to many fields of technology and science. In this work, we investigate the fusion of ...

This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...

Abstract: Non-linear filters consider probability density functions in various non-parametric representations. They often suffer from the curse of dimensionality. Computation of weights over a grid of ...

1 Department of Mathematics, Kotebe University of Education, Addis Ababa, Ethiopia 2 Department of Statistics, Addis Ababa University, Addis Ababa, Ethiopia The main purpose of this paper is to ...

1 School of Software, Taiyuan University of Technology, Taiyuan, Shanxi, China 2 Information Management Department, Shanxi Provincial People’s Hospital, Taiyuan, Shanxi, China Introduction: ...

Modeling and visualization of bound-state hydrogen eigenfunctions and electron probability densities. Python 3.12.11 Matplotlib 3.10.6 Seaborn 0.13.2 NumPy 2.3.2 SciPy 1.16.1 Quantum mechanics (QM) is ...

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 ...

ABSTRACT: This paper presents a game theory-based method for predicting the outcomes of negotiation and group decision-making problems. We propose an extension to the BDM model to address problems ...