Nature

Multivariate Normality Testing

Multivariate normality testing plays a critical role in modern statistical analysis by evaluating whether a multivariate dataset conforms to the assumptions of a normal distribution. Such assessments ...
IEEE

A Study on Intraday Rolling Scheduling of Distribution Networks Based on Conditional Multivariate Normal Distribution Random Optimization

Abstract: The paper introduces an intraday rolling scheduling model for power distribution networks, leveraging conditional multivariate normal distribution-based ...
Psychology Today

The Fascinating World of the Normal Curve

Imagine you're at a fair, and you see a booth with a giant dartboard. The booth owner challenges you to hit the bullseye. You take your shot, and the dart lands somewhere on the board. Now imagine ...
Scientific Research Publishing

Yang, S., & Gui, Z. (2023). An Introduction on the Multivariate Normal-Ratio Distribution. arXiv preprint arXiv:2310.14306

ABSTRACT: This paper investigated the effect of financial ratio anomalies on the creditworthiness of companies in the production and manufacturing sectors listed on the Istanbul Stock Exchange.
GitHub

[TASK] Implement a multivariate normal distribution in Python

Is your feature request related to a problem? Please describe. One of the main barriers to running RAVEN without building it is the reliance on key functionalities from Crow. The Crow class for ...
IEEE

Kalman Filter Based on Multiple Scaled Multivariate Skew Normal Variance Mean Mixture Distributions With Application to Target Tracking

Abstract: In this brief, we first propose a multiple scaled multivariate skew normal variance-mean mixture (MSMSNVMM) distribution to model heavy-tailed and/or skew measurement noises (HTSMN) whose ...