Implied volatilities were higher across the major asset classes last week on the back of President Trump's nomination of ...

Explore how AI-powered forensic data audits can enhance data literacy and improve air quality measurements for socio-economic ...

This article examines credit risk in US fixed income--spanning investment grade, high yield, leveraged loan, and private credit.

Implied volatilities were higher across the major asset classes last week as the markets strove to process the economic ...

In residential real estate appraisal, accuracy, credibility, objectivity, and reliability are paramount. Appraisers, to meet client demands and comply with USPAP, must gather, analyze, and interpret a ...

Abstract: Among statistical methods used in data analysis processes, correlation analysis holds one of the most significant places. Using correlation, analysts measure prediction potential between ...

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...

One way to grasp how fully our relationship to computers changed over the 1990s is to look at the cyberthrillers Hollywood made during that time. Mass surveillance, identity theft, the hacking of the ...

I commonly use summary(lmerfit, cor=FALSE) to suppress the correlation matrix. It is a minor annoyance to have it still print the following lines whenever the number ...

Abstract: In a direction-finding process, high-resolution subspace-based algorithms are the most popular ones. It is well-known that their performance of direction of arrival (DOA) estimation mainly ...