Probability Distribution Methods to Predict Stock Profits

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
BMJ

Cycling and cardiovascular disease risk factors including body composition, blood lipids and cardiorespiratory fitness analysed as continuous variables: Part 2—systematic ...

Objectives We aimed to examine the relationship between cycling (particularly commuter cycling) and risk factors associated with cardiovascular diseases (CVDs) including body composition, blood lipids ...
GitHub

Does DoWhy support inference and variable manipulation on hybrid network? How to write this simple example

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 ...
TheServerSide

Full GitHub Actions environment variables list for YAML build workflow scripts example

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 ...
IEEE

Moments of Random Variables: A Systems-Theoretic Interpretation

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 ...
IEEE

Continuous-Variable Source-Independent Quantum Random Number Generator With Phase-Insensitive Detection

Abstract: Quantum random number generators (QRNGs) harness quantum mechanical unpredictability to produce true randomness, which is crucial for cryptography and secure communications. Among various ...
Houston Chronicle

How to Generate a Random Variable With Normal Distribution in Excel

Forecasting for any small business involves guesswork. You know your business and its past performance, but you may not be comfortable predicting the future. Using Excel is a great way to perform what ...
Frontiers

The value of generalized linear mixed models for data analysis in the plant sciences

1 Department of Plant Pathology, The Ohio State University, Wooster, OH, United States 2 Center for Integrated Fungal Research, Department of Entomology and Plant Pathology, North Carolina State ...
inc42

What Is Probability Density Function? Here’s All You Need to Know

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...
Frontiers

Multiple imputation of missing data under missing at random: including a collider as an auxiliary variable in the imputation model can induce bias

Epidemiological studies often have missing data, which are commonly handled by multiple imputation (MI). In MI, in addition to those required for the substantive analysis, imputation models often ...