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USTC proposes novel design methodology for hardware Gaussian random number generators

A research team from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) proposed a novel design methodology for Gaussian random number (GRN) generators ...
IEEE

A Novel Parameter-Dependent Inverse Gaussian Distribution Considering Random Effects with Extension to Accelerated Life Test

Abstract: SUMMARY & CONCLUSIONSInverse Gaussian distribution is one of the most important distributions in reliability evaluation. The relevance between parameters is neglected in traditional ...
IEEE

Minimum Variance Unbiased Estimators of Generalized Gaussian Distribution With an H-Proper Quaternion Random Variable

Abstract: This paper presents a comprehensive approach to parameter estimation in generalized Gaussian distributions (GGD) with -proper quaternion random variables, utilizing Maximum Likelihood ...
Science Daily

Random variable

A random variable is a mathematical function that maps outcomes of random experiments to numbers. It can be thought of as the numeric result of operating a non-deterministic mechanism or performing a ...
GitHub

A Variable Gaussian Kernel Scale Active Contour Model Based on Jeffreys Divergence for ICT Image Segmentation

This repository contains MATLAB implementations for the paper: A Variable Gaussian Kernel Scale Active Contour Model Based on Jeffreys Divergence for ICT Image Segmentation. In industrial computed ...
GitHub

Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning

Paper by Haoyue Dai, Immanuel Albrecht, Peter Spirtes, Kun Zhang. Appears at ICLR 2026 (oral). When are two latent-variable models with arbitrary structure and feedback cycles indistinguishable from ...