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 Link-Based Variable Probability Learning Approach for Partially Overlapping Channels Assignment on Multi-Radio Multi-Channel Wireless Mesh Information-Centric IoT Networks

Abstract: The performance of the wireless mesh information-centric Internet of Thing (IC-IoT) networks can be greatly enhanced by adopting multi-radio multi-channel (MRMC) and partially overlapping ...
Investopedia

Understanding Lognormal vs. Normal Distributions in Financial Analysis

Kristina Zucchi is an investment analyst and financial writer with 15+ years of experience managing portfolios and conducting equity research. Gordon Scott has been an active investor and technical ...
IEEE

A New Approximation for Average Symbol Error Probability over Log-Normal Channels

Abstract: The average symbol error probability(ASEP) is an important measure to evaluate the performance of different modulation techniques over fading channels. The ...