IEEE

Generalized Gaussian Distribution with Augmented Pure Quaternion Random Variable

Abstract: Quaternion random signals can be analyzed using augmented second-order statistics. If these signals are treated as the augmented quaternion valued random variables, then they can be modeled ...
Scientific Research Publishing

Cannon, A. J. (2018). Multivariate Quantile Mapping Bias Correction: An N-Dimensional Probability Density Function Transform for Climate Model Simulations of Multiple Variables ...

ABSTRACT: This study evaluates the projected impacts of climate change on surface water availability in the Diaguiri River Basin, a sub-catchment of the Gambia River in West Africa, using the ...
IEEE

Scalable Random Feature Latent Variable Models

Abstract: Random feature latent variable models (RFLVMs) are state-of-the-art tools for uncovering structure in high-dimensional, non-Gaussian data. However, their reliance on Monte Carlo sampling ...
Scientific Research Publishing

Bedford, T., & Cooke, R. M. (2001). Probability Density Decomposition for Conditionally Dependent Random Variables Modeled by Vines. Annals of Mathematics and Artificial ...

ABSTRACT: In this paper, we explore the dynamic relationship between exchange rates, natural gas, and crude oil prices using the wavelet vine copula approach. The vine copula method offers the ...
inc42

What Is Probability Density Function? Here’s All You Need to Know

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 ...
GitHub

Wigner Function for Quantum Optics

All the scripts were developed on MATLAB 2023a (compatible with MATLAB 2022b or later). This file contains two main scripts: CoherentBasis.m FockBasis.m which define two types of classes. The first ...