We have upgraded the GCI, and created the GDI – the Global Digitalization Index. The GDI measures the maturity of a country's ...

By analyzing the characteristics of always-on information-leakage HTs, we propose CA4TJ, a corresponding quantifying metric to evaluate the correlation between sensitive information and the leaked ...

Bitcoin's performance surpasses nearly every other major asset class, but some investors have been spooked by the recent ...

A correlation coefficient is used in statistics to describe a pattern or relationship between two variables. A negative correlation describes the extent to which two variables move in opposite ...

BackgroundIdiopathic pulmonary fibrosis (IPF) is a chronic progressive interstitial lung disease characterized by unexplained ...

In the DDM, noisy evidence is accumulated into a decision variable until reaching one of the two bounds, representing commitment to one of two choices (e.g., left or right). In general, the average ...

Back in 1934, Ralph Nelson Elliott discovered that price action displayed on charts, instead of behaving in a somewhat chaotic manner, had actually an intrinsic narrative attached. Elliot saw the ...

The correlation coefficient is one of the most important concepts in statistical analysis, and it’s one that can be highly useful to investors. Image source: The Motley Fool You’ve probably ...

Hence a new method of timing analysis is proposed to deal with the case where execution time is not available. Different execution time leads to different execution intervals, affecting the locations ...

This repository hosts the unpublished paper and the associated R Markdown code for the case study titled "Assessing the Relationship between Educational Attainment and Social Well-being in Indonesia ...

The primary tasks include: Sentiment Analysis: Use Natural Language Processing (NLP) techniques to quantify the sentiment in financial news headlines. Correlation Analysis: Establish correlations ...