GitHub

The Multivariate Event Modeller (MEM) is a tool designed for undertaking joint probability analysis of extremes for up to 10 variables.

The joint probability of two or more variables being “extreme” is relevant in Flood and Coastal Risk Management (FCRM) in various contexts, including: Assessing the likelihood of extreme peak flow ...
IEEE

A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data

Abstract: The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), ...
BMJ Open

The Effect of Multimorbidity and Anticoagulation Use in Patients with Atrial Fibrillation on The One-Year Outcome: Analysis from Jordan Atrial Fibrillation (JoFIB) Study – A ...

Objective Patients with atrial fibrillation (AF) frequently have multiple comorbidities that increase the risk of hospitalisation and contribute to higher mortality. However, studies examining the ...
IEEE

Analyzing the quality of the engineering course's management using information processing based on multivariate statistics: A case study under the professors' perspectives

Abstract: Processes and evaluation methods are gaining prominence in the social and educational contexts. In this context, it is proposed to contribute to the improvement of the higher education ...