Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Explore what economic sunspots are, how they influence financial markets independently of fundamentals, and their fascinating ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...

Medical research studies have a number of possible designs. A strong research project closely ties the research questions/hypotheses to the methodology to be used, the variables to be measured or ...

Dependent variables change based on other inputs in financial models, affecting investment outcomes. Independent variables like earnings affect dependent variables, influencing metrics like P/E ratios ...

Abstract: In probability theory, variance is a device to measure dispersion of random variable from its mean. In order to explain complex uncertain random variable,variance and pseudo-variance are ...

I did not find an example using DoWhy to do inference and variable manipulation on a hybrid network, which has both categorical and continuous variables. I tried the ...

Community driven content discussing all aspects of software development from DevOps to design patterns. If a developer wants to build a workflow, shell script or build job of any merit, they’ll need ...

Abstract: Moments of continuous random variables admitting a probability density function are studied. We show that, under certain assumptions, the moments of a random variable can be characterized in ...